| _ | national | _ |
|---|
| Aaai '93, Eleventh | national | Conference On Artificial Intelligence, Washington, Dc |
| Aaai '94, Twelfth | national | Conference On Artificial Intelligence, Seattle, Wa |
| Aaai '96, Thirteenth | national | Conference On Artificial Intelligence, Portland, Or |
| Aaai '98, Fifteenth | national | Conference On Artificial Intelligence, Madison, Wi |
| Aaai-88, Seventh | national | Conference On Artificial Intelligence, St. Paul, Mn |
| Aaai-90, Eighth | national | Conference On Artificial Intelligence, Boston, Ma |
| Aaai-91, | national | Conference On Artificial Intelligence, Anaheim, Ca |
| Aaai-92, | national | Conference On Artificial Intelligence, San Jose, Ca |
| Computer Graphics '84 Conference And Exposition ( | national | Computer Graphics Association), Anaheim, Ca |
| Computer Graphics '85 ( | national | Computer Graphics Association; Dallas, Tx |
| Computer Graphics '86 ( | national | Computer Graphics Association; Anaheim, Ca |
| Computer Graphics '87 ( | national | Computer Graphics Association), Philadelphia, Pa |
| First | national | Symposium On Sensor Fusion, Orlando, Fl |
| Fourteenth | national | Conference On Artificial Intelligence Aaai-97, Providence, Ri |
| Fourth French | national | Conference On Writing And Document[S], Nantes, France |
| Interoperable Database System: A New | national | R&D Project And Its Impact On Multimedia Information Processing Technology |
| Ncga '88 (Ninth Annual Conference And Exposition, | national | Computer Graphics Association), Anaheim, Ca |
| Ncga'89 (Tenth Annual Conference And Exposition, | national | Computer Graphics Association), Philadelphia, Pa |
| Proceedings Of The | national | Conference On Artificial Intelligence (Aaai-84; Austin, Tx |
| Proceedings, Aaai-86 (Fifth | national | Conference On Artificial Intelligence, Philadelphia, Pa |
| Sixth | national | Conference On Artificial Intelligence, Seattle, Wa, July 13-17, 1987. (Proceedings Published By Morgan Kaufmann |
| Symposium On Frontiers Of Visual Science, | national | Research Council, Washington, Dc |
| Viii | national | Symposium On Pattern Recognition And Image Analysis, Barcelona, Spain |
23 for national
| _ | nato | _ |
|---|
| Active Perception And Robot Vision ( | nato | Advanced Study Institute), Maratea, Italy |
| Computer Architectures For Spatially Distributed Data (Proceedings Of A | nato | Advanced Study Institute, Cetraro, Italy, June 6-17, 1983), Springer |
| From Statistics To Neural Networks, | nato | Advanced Study Institute, Les Arcs, France |
| Fundamental Algorithms For Computer Graphics (Proceedings Of A | nato | Asi, Ilkley, Uk, March 30 - April 12, 1985), Springer |
| Fundamentals In Handwriting Recognition, | nato | Advanced Study Institute, Bonas, France |
| International Conference And | nato | Advanced Workshop On Binocular Stereopsis And Optic Flow, Toronto, Ontario, Canada |
| Machine Intelligence And Knowledge Engineering For Robotic Applications (Proceedings Of A | nato | Advanced Research Workshop, Maratea, Italy, May 12-16, 1987), Springer |
| nato | Advanced Research Workshop On Machine Intelligence And Knowledge Engineering For Robotic Applications (Maratea, Italy |
| nato | Advanced Research Workshop On Pyramidal Systems For Image Processing And Computer Vision (Maratea, Italy |
| nato | Advanced Research Workshop On Syntactic And Structural Pattern Recognition (Barcelona, Spain |
| nato | Advanced Study Institute On Face Recognition: From Theory To Application, Stirling, Scotland |
| nato | Advanced Study Institute On Pattern Recognition Theory And Applications (Spa-Balmoral, Belgium |
| nato | Advanced Study Institute On Pictorial Information Systems In Medicine, Braunlage, Germany |
| nato | Advanced Study Institute On Vision And Image Understanding, Erice, Sicily |
| Pattern Recognition Theory And Applications ( | nato | Advanced Study Institute, Spa-Balmoral, Belgium, June 9-20, 1986), Springer |
| Physics And Engineering Of Medical Imaging (Proceedings Of A | nato | Advanced Study Institute, Maratea, Italy, September 23-October 5, 1984), Nijhoff |
| Pyramidal Systems For Computer Vision (Proceedings Of A | nato | Advanced Research Workshop, Maratea, Italy, May 5-9, 1986), Springer |
| Shape In Picture: Mathematical Description Of Shape In Grey-Level Images (Proceedings Of The | nato | Advanced Research Workshop ``Shape In Picture'', Driebergen, The Netherlands, September 7-11, 1992), Springer |
| Theoretical Foundations Of Computer Graphics And Cad ( | nato | International Advanced Study Institute), Lucca, Italy |
| Theoretical Foundations Of Computer Graphics And Cad (Proceedings Of A | nato | Advanced Study Institute, Il Ciocco, Italy, July 4-17, 1987), Springer |
20 for nato
| _ | natural | _ |
|---|
| 3-D Corridor Scene Modeling From A Single View Under | natural | Lighting Conditions |
| Analysis Of Motion In | natural | Scenes Using A Spatiotemporal/Spatiotemporal-Frequency Representation, The |
| Characteristics Of | natural | Scenes Related To The Fractal Dimension |
| Characterizing | natural | Backgrounds For Target Detection |
| Classification Of | natural | Textures By Means Of Two-Dimensional Orthogonal Masks |
| Color Spaces For Inspection Of | natural | Objects |
| Comments On ``Classification Of | natural | Textures By Means Of Two-Dimensional Orthogonal Masks'' |
| Comparison Of Measures For Detecting | natural | Shapes In Cluttered Backgrounds, A |
| Computing The Intersection Of A Plane And A | natural | Quadric |
| Context-Based Recognition System For | natural | Scenes And Complex Domains, A |
| Dealing With Space In | natural | Language Processing |
| Detecting Blobs As Textons In | natural | Images |
| Detecting Textons And Texture Boundaries In | natural | Images |
| Detecting The Spatial Structure Of | natural | Textures Based On Shape Analysis |
| Determining Local | natural | Scales Of Curves |
| Determining Local | natural | Scales Of Curves |
| Digital Image Processing And Computer Graphics: Applictaions In Humanities And | natural | Sciences (Vienna, Austria, October 20-22 |
| Effective Scale: A | natural | Unit For Measuring Scale-Space Lifetime |
| Efficacy Of Fractal Features In Segmenting Images Of | natural | Textures |
| Expert System For Object Recognition In | natural | Scenes, An |
| Exploitation Of | natural | Image Statistics By Biological Vision Systems: 1=F2power Spectra And Self-Similar Bandpass Decompositions |
| Extracting | natural | Scales Using Fourier Descriptors |
| Finding Boundaries In | natural | Images: A New Method Using Point Descriptors And Area Completion |
| Fingerprint Image Compression By A | natural | Clustering Neural Network |
| Fractal Based Classification Of | natural | Textures |
| Fractal Modeling Of | natural | Terrain: Analysis And Surface Reconstruction With Range Data |
| Fractal Surface Reconstruction For Modeling | natural | Terrain |
| Fractal-Based Analysis Of 3d | natural | Surface Shapes And Their Application To Terrain Modeling |
| Fractal-Based Description Of | natural | Scenes |
| Fuzzy Region-Growing Segmentation Of | natural | Images Using Local Fractal Dimension |
| Generalized Hough Transform For | natural | Shapes |
| Geometric Algorithms For Detecting And Calculating All Conic Sections In The Intersection Of Any Two | natural | Quadric Surfaces |
| Guest Ed., Special Issue: Understanding Shape: Perspectives From | natural | And Machine Vision, Ivc 11(6) |
| Guest Eds., Special Issue On | natural | And Arti,Cial Real-Time Imaging And Vision |
| Human Skin Model Capable Of | natural | Shape Variation |
| Ieee Conference On Neural Information Processing Systems- | natural | And Synthetic, Boulder, Co |
| Ieee Conference On Neural Information Processing Systems- | natural | And Synthetic, Denver, Co |
| Image Analysis Modeling System For | natural | Scenes, An |
| Image Segmentation For Complex | natural | Scenes |
| Integration Of Local Fractal Dimension And Boundary Edge In Segmenting | natural | Images |
| Integration Of | natural | Language And Vision Processing--Computational Models And Systems, Kluwer, Dordrecht |
| Integration Of | natural | Language And Vision Processing--Intelligent Multimedia, Kluwer, Norwell |
| Integration Of | natural | Language And Vision Processing--Recent Advances, Kluwer, Norwell |
| Integration Of | natural | Language And Vision Processing--Theory And Grounding Representations, Kluwer, Norwell, Ma |
| Intensity Fluctuations And | natural | Texturing |
| International Workshop On Synthetic | natural | Hybrid Coding And Three-Dimensional Imaging, Rhodes, Greece |
| Interpretation Of | natural | Scenes Using Multi-Parameter Default Models And Qualitative Constraints |
| Introduction To | natural | Computation, Mit Press, Cambridge, An |
| Invariance And Scaling Laws In | natural | Images |
| Knowledge Representation For The Generation Of Quantified | natural | Language Descriptions Of Vehicle Traffic In Image Sequences |
| Knowledge-Based Interpretation Of Outdoor | natural | Color Scenes, Pitman |
| Land Scan: A | natural | Language And Computer Vision System For Analyzing Aerial Images |
| Learning To Detect Salient Objects In | natural | Scenes Using Visual Attention |
| Mis?)Using Drt For Generation Of | natural | Language Text From Image Sequences |
| Mist Methodology And Its Application To | natural | Scene Interpretation, The |
| Model Driven Synthesis Of | natural | Textures For 3-D Scenes |
| Multiple-Instance Learning For | natural | Scene Classification |
| Multiscale Analysis Model Applied To | natural | Surfaces, A |
| natural | And Artificial Compound Eye Sensors, Spie, Bellingham |
| natural | And Artificial Parallel Computation, Mit Press, Cambridge |
| natural | Approach In Image Processing And Pattern Recognition: Rotating Neighborhood Technique, Self-Adapting Threshold, Segmentation And Shape Recognition, A |
| natural | Computation, Mit Press, Cambridge |
| natural | History Of Vision, Mit Press, Cambridge, A |
| natural | Language Access To Image Sequences: Event Recognition And Verbalization |
| natural | Language Communication With Pictoral Information Systems, Springer |
| natural | Metamers |
| natural | Neighbor Sorting On The N-Dimensional Sphere |
| natural | Object Recognition, Springer |
| natural | Object Recognition: A Theoretical Framework And Its Implementation |
| natural | Representation Of Motion In Space-Time |
| natural | Representations For Straight Lines And The Hough Transform On Discrete Arrays |
| natural | Scene Segmentation Based On Multiple Threshold And Textural Measurement |
| Neural Information Processing Systems-- | natural | And Synthetic, Denver, Co |
| Neural Networks And | natural | Intelligence, Mit Press, Cambridge |
| New Colour Image Energy For Active Contours In | natural | Scenes, A |
| Nips '94, Neural Information Processing Systems- | natural | And Synthetic, Denver, Co |
| Nips '95, Neural Information Processing Systems: | natural | And Synthetic, Denver, Co |
| On The Lower Degree Intersections Of Two | natural | Quadrics |
| Optimal Sensing Strategy For Recognition And Localization Of 3-D | natural | Quadric Objects, An |
| Parallel Method For | natural | Texture Synthesis, A |
| Perceptual Organization And The Representation Of | natural | Form |
| Recognizing Objects In A | natural | Environment: A Contextual Vision System (Cvc) |
| Representation And Realistic Rendering Of | natural | Phenomena With Cyclic Csg Graphs |
| Representing Curves At Their | natural | Scales |
| Robot Vision: Sketching | natural | Scenes |
| Robust Active Contour Model For | natural | Scene Contour Extraction With Automatic Thresholding, A |
| Searching For Geometric Structure In Images Of | natural | Scenes |
| Segmentation Of | natural | Images Based On Multiresolution Pyramids Linking Of The Parameters Of An Autoregressive Rotation Invariant Model. Application To Leather Defects Detection |
| Segmentation Of | natural | Images For Cbir |
| Segmentation Of | natural | Images Using An Isotropic Diffusion And Linking Of Boundary Edges |
| Segmentation Of | natural | Scenes |
| Selection Of | natural | Scales In 2d Images Using Adaptive Gabor Filtering, The |
| Sequential Synthesis Of | natural | Textures |
| Shape Adaptation For Modelling Of 3d Objects In | natural | Scenes |
| Shape Characterization In | natural | Scales By Using The Multiscale Bending Energy |
| Simd-Parallel Model Of Hierarchical, Role-Based Pattern Recognition, With Application To The Optical Interpretation Of | natural | Language, A |
| Simple Method For Extracting The | natural | Beauty Of Hair, A |
| Simulation Of | natural | Features Using Cone Tracing, The |
| Simulation Of | natural | Scenes Using Textured Quadric Surfaces |
| Sketching | natural | Terrain From Uncalibrated Imagery |
| Sketching | natural | Terrain From Uncalibrated Imagery |
| Special Issue On The Modeling Of | natural | Phenomena |
| Split And Merge Algorithm For Segmentation Of | natural | Scenes, A |
| Statistical Method For Discrimination Of | natural | Terrain Types From Sar Data, A |
| Structural Analysis Of | natural | Textures |
| Synthesis Of | natural | Textures On 3-D Surfaces |
| Temporal Classification Of | natural | Gesture And Application To Video Coding |
| Text-Driven Automatic Frame Generation Using Mpeg-4 Synthetic/ | natural | Hybrid Coding For 2-D Head-And-Shoulder Scene |
| Third Order Model For Non Homogeneous | natural | Textures |
| Two-Dimensional Mesh-Based Visual-Object Representation For Interactive Synthetic/ | natural | Digital Video |
| U. Ethrog), W. Feng, And B. Yuan, Ccd Camera Calibration Based On | natural | Landmarks |
| Unsupervised Regions Segmentation: Real Time Control Of An Upkeep Machine Of | natural | Spaces |
| Visual Representation Of | natural | Language Scene Descriptions |
113 for natural
| _ | navigation | _ |
|---|
| 3-D Vision For Outdoor | navigation | |
| 3d-Vision-Based | navigation | : First Steps |
| Active | navigation | : Tracking An Environmental Point Considered Beneficial |
| Active Visual | navigation | Using Non-Metric Structure |
| Active/Dynamic Stereo For | navigation | |
| Adaptive | navigation | Of Automated Vehicles By Image Analysis Techniques |
| Adaptive | navigation | Of Mobile Robots With Obstacle Avoidance |
| Algorithmic Approach To Some Problems In Terrain | navigation | , An |
| Algorithmic Framework For Learned Robot | navigation | In Unknown Terrains |
| Analysis Of Image-Based | navigation | System For Rotocraft Low-Altitude Flight |
| Anra: An Architecture For Vision-Based Robot | navigation | |
| Automatic | navigation | System For Vision Guided Vehicles Using A Double Heuristic And A Finite State Machine, An |
| Autonomous Mobile Robot | navigation | And Learning |
| Autonomous Mobile Robots: 1. Perception, Mapping, And | navigation | ; 2. Planning, Control, And Architecture, Ieee Computer Society Press, Washington |
| Autonomous | navigation | In A Manufacturing Environment |
| Autonomous | navigation | In Cross-Country Terrain |
| Autonomous | navigation | Through Case-Based Learning |
| Autonomous Robot | navigation | In Unknown Terrains: Incidental Learning And Environmental Exploration |
| Behavior-Based System For Off-Road | navigation | , A |
| Blanche-An Experiment In Guidance And | navigation | Of An Autonomous Robot Vehicle |
| Building Perspective Models To Guide A Row Crop | navigation | Vehicle |
| C.4. Robot | navigation | |
| C.4. Robot | navigation | |
| Calibration Of A Mobile Robot With Application To Visual | navigation | |
| Centralized And Decentralized Kalman Filter Techniques For Tracking, | navigation | , And Control |
| Client/Server Control Architecture For Robot | navigation | , A |
| Collision-Free | navigation | Scheme In The Presence Of Moving Obstacles, A |
| Combining Sonar And Infrared Sensors For Mobile Robot | navigation | |
| Complete | navigation | System For Goal Acquisition In Unknown Environments, A |
| Constructing Maps For Mobile Robot | navigation | Based On Ultrasonic Range Data |
| Direct Motion Stereo For Passive | navigation | |
| Direct Motion Stereo For Passive | navigation | |
| Direct Passive | navigation | |
| Direct Passive | navigation | : Analytical Solution For Planes |
| Directed Sonar Sensing For Mobile Robot | navigation | , Kluwer |
| Divergent Stereo For Robot | navigation | : Learning From Bees |
| Divergent Stereo In Autonomous | navigation | : From Bees To Robots |
| Domain-Dependent Reasoning For Visual | navigation | Of Roadways |
| Dynamic Stereo In Visual | navigation | |
| Efficient | navigation | Through Dynamic Domains |
| Error Detection And Error Recovery In Two Dimensional Topological | navigation | |
| Error Modeling In Stereo | navigation | |
| Exact Robot | navigation | Using Artificial Potential Functions |
| Executing Reactive Behavior For Autonomous | navigation | |
| Experiments In Autonomous | navigation | |
| Experiments In Autonomous | navigation | |
| Fast Electronic Digital Image Stabilization For Off-Road | navigation | |
| Fast Line Finder For Vision-Guided Robot | navigation | , A |
| Fast Vision-Guided Mobile Robot | navigation | Using Model-Based Reasoning And Prediciton Of Uncertainties |
| Feature Matching In 360o Waveforms For Robot | navigation | |
| Formalization And Implementation Of Topological Visual | navigation | In Two Dimensions, A |
| Generic Models For Robot | navigation | |
| Guest Eds., Special Issue-Active Robot Vision: Camera Heads, Model Based | navigation | And Reactive Control |
| Guest Eds., Special Section On Perception-Based Real-World | navigation | |
| Hidden Markov Model For Dynamic Obstacle Avoidance Of Mobile Robot | navigation | |
| Hierarchical Path Planning In A Multi-Robot Environment With A Simple | navigation | Function |
| Human-Centered Approach To Ugv | navigation | , A |
| Image Processing Language With Icon-Assisted | navigation | , An |
| Image-Based | navigation | Using 360 Degree Views |
| Image-Based Visual Threat Cue For Autonomous | navigation | , An |
| Image-Based Visual-Motion-Cue For Autonomous | navigation | , An |
| Incorporating Range Sensing In The Robot | navigation | Function |
| Incremental Learning For Vision-Based | navigation | |
| Incremental Learning-By- | navigation | Approach To Vision-Based Autonomous Land Vehicle Guidance In Indoor Environments Using Vertical Line Information And Multiweighted Generalized Hough Transform Technique, An |
| Inertial | navigation | Sensor Integrated Motion Analysis |
| Inertial | navigation | Sensor Integrated Motion Analysis For Autonomous Vehicle Navigation |
| Inertial | navigation | Sensor Integrated Motion Analysis For Autonomous Vehicle Navigation |
| Inertial | navigation | Systems For Mobile Robots |
| Integrated Multiscale Approach For Terrain Referenced Underwater | navigation | , An |
| Intelligent Unmanned Ground Vehicles|Autonomous | navigation | Research At Carnegie Mellon, Kluwer, Norwell |
| Knowledge Extraction And Acquisition During Real-Time | navigation | In Unknown Environments |
| Landmark Selection For Accurate | navigation | |
| Landmark-Based Robot | navigation | |
| Learned | navigation | Paths For A Robot In Unexplored Terrain |
| Learning In | navigation | : Goal Finding In Graphs |
| Learning Metric-Topological Maps For Indoor Mobile Robot | navigation | |
| Learning, Recognition And | navigation | From A Sequence Of Infrared Images |
| Learning, Recognition And | navigation | From A Sequence Of Infrared Images |
| Low-Cost System Using Sparse Vision For | navigation | In The Urban Environment, A |
| Map-Based | navigation | For A Mobile Robot With Omnidirectional Image Sensor Copis |
| Mapping And Spatial Modelling For | navigation | (Fano, Denmark, August 21-25, 1989), Springer |
| Method For Recognition And Localization Of Generic Objects For Indoor | navigation | , A |
| Mini-Symposium On Robot | navigation | , Stanford, Ca |
| Mobile Robot | navigation | And Scene Modeling Using [A] Stereo Fish-Eye Lens System |
| Mobile Robot | navigation | Based On Flexibility Maps Of The Environment |
| Mobile Robot | navigation | By An Active Control Of The Vision System |
| Mobile Robot | navigation | By Wall Following Using A Rotating Ultrasonic Scanner |
| Model-Based Tracking For | navigation | And Segmentation |
| Model-Directed Mobile Robot | navigation | |
| Models For Map Building And | navigation | |
| Motion Stereo For | navigation | Of Autonomous Vehicles In A Passageway |
| Motion Stereo For | navigation | Of Autonomous Vehicles In Man-Made Environments |
| Motion Stereo For | navigation | Of Autonomous Vehicles In Man-Made Environments |
| Motor Schema-Based Mobile Robot | navigation | |
| Multiresolution Rough Terrain Motion Planning, T-Ra 14, 1998, 19-33. 31525. A. Giachetti, M. Campani, And V. Torre, The Use Of Optical Flow For Road | navigation | |
| Multisensor Fusion And | navigation | Of Mobile Robots |
| navigation | And Control Technologies For Unmanned Systems (Orlando, Fl, April 8-9 |
| navigation | And Control Technologies For Unmanned Systems Ii Orlando, Fl, April 23 |
| navigation | And Mapping In Large-Scale Space |
| navigation | Based On A Network Of 2d Images |
| navigation | By Optical Flow |
| navigation | For An Intelligent Mobile Robot |
| navigation | For An Intelligent Mobile Robot |
| navigation | Parameter Estimation From Sequential Aerial Images |
| navigation | Templates: Mediating Qualitative Guidance And Quantitative Control In Mobile Robots |
| navigation | Using Affine Structure From Motion |
| navigation | Using Image Sequence Analysis And 3-D Terrain Matching |
| New Visual Invariants For Terrain | navigation | Without 3d Reconstruction |
| Noise-Tolerant Range Analysis For Autonomous | navigation | |
| Novel Active-Vision-Based Visual-Threat-Cue For Autonomous | navigation | Tasks |
| On Computing A Fuzzy Focus Of Expansion For Autonomous | navigation | |
| On The Computational Complexity Of Linear | navigation | |
| Online | navigation | In A Room |
| Operational Perception System For Cross-Country | navigation | , An |
| Operational Perception System For Cross-Country | navigation | , An |
| Optical | navigation | By The Method Of Differences |
| Optical | navigation | By The Method Of Differences |
| Outdoor Vehicle | navigation | Using Passive 3d Vision |
| Passive | navigation | As A Pattern Recognition Problem |
| Passive | navigation | In A Partially Known Environment |
| Perceptual Aspects Of | navigation | |
| Physically Based | navigation | Strategy For Sonar-Guided Vehicles, A |
| Physically Based Simulation Model For Acoustic Sensor Robot | navigation | |
| Pragmatic | navigation | : Reactivity, Heuristics, And Search |
| Probabilistic Analysis Of Some | navigation | Strategies In A Dynamic Environment |
| Probabilistic | navigation | Methods For Uncertain And Dynamic Enviroments |
| Projected Light Grids For Short Range | navigation | Of Autonomous Robots |
| Qualitative Environmental | navigation | |
| Qualitative | navigation | |
| Qualitative | navigation | For Mobile Robots |
| Qualitative | navigation | Ii |
| Qualitative Visual | navigation | Using Weighted Correlation |
| Range Measurements By A Mobile Robot Using A | navigation | Line |
| Range-Free Qualitative | navigation | |
| Real-Time Map Building And | navigation | For Autonomous Robots In Unknown Environments |
| Real-Time Model Based Geometric Reasoning For Vision-Guided | navigation | |
| Real-Time Omnidirectional Image Sensor (Copis) For Vision-Guided | navigation | |
| Real-Time Visual Sensing For Task Planning In A Field | navigation | Vehicle |
| Realtime Stereo And Motion Integration For | navigation | |
| Recognition And Localization Of Generic Objects For Indoor | navigation | Using Functionality |
| Recognizing White Line Markings For Vision-Guided Vehicle | navigation | By Fuzzy Reasoning |
| Representation And Computation Of The Spatial Environment For Indoor | navigation | |
| Representing Environment Through Target-Guided | navigation | |
| Retina-Like Visual Sensor For Fast Tracking And | navigation | Robots |
| Road Junction Recognition And Turn-Offs For Autonomous Road Vehicle | navigation | |
| Robot | navigation | |
| Robot | navigation | By Combining Central And Peripheral Optical Flow Detection On A Space-Variant Map |
| Robot | navigation | By Visual Dead Reckoning: Inspiration From Insects |
| Robot | navigation | In Unknown Generalized Polygonal Terrain Using Vision Sensors |
| Robot | navigation | In Unknown Terrain Using Learned Visibility Graphs. Part I: The Disjoint Convex Obstacle Case |
| Robot | navigation | In Unknown Terrains Of Convex Polygonal Obstacles, Using Learned Visibility Graphs |
| Robust Disparity Estimation In Terrain Modeling For Spacecraft | navigation | |
| Satisficing Feedback Strategies For Local | navigation | Of Autonomous Mobile Robots |
| Self Calibration Of Motion And Stereo Vision For Mobile Robot | navigation | |
| Sensing Error For A Mobile Robot Using Line | navigation | |
| Sensor Roll Angle Error For A Mobile Robot Using A | navigation | Line |
| Sensor-Based | navigation | For A Mobile Robot Using Fuzzy Logic And Reinforcement Learning, A |
| Sensors And Sensor Systems For Guidance And | navigation | (Orlando, Fl, April 22-23 |
| Simple, Cheap, And Robust Visual | navigation | System, A |
| Smart | navigation | Of A Ray Through An Oct-Tree, The |
| Some Heuristics For The | navigation | Of A Robot |
| Some Location Properties For Robot | navigation | Using A Single Camera |
| Sonar-Based Real-World Mapping And | navigation | |
| Spatiotemporal Representations For Visual | navigation | |
| State-Based Shoslif For Indoor Visual | navigation | |
| Stealth | navigation | : Planning And Behaviors |
| Stealth Terrain | navigation | |
| Stealth Terrain | navigation | For Multi-Vehicle Path Planning |
| Stealth Terrain | navigation | With Bounding Overwatch |
| Stereo Vision And | navigation | In Buildings For Mobile Robots |
| Stereo Vision-Based | navigation | In Unknown Indoor Environment |
| Structural Pyramids For Representing And Locating Moving Obstacles In Visual Guidance Of | navigation | |
| Structuring Free Space As A Hypergraph For Roving Robot Path Planning And | navigation | |
| Temporal Coordination Of Perceptual Algorithms For Mobile Robot | navigation | |
| Terrain | navigation | Through Knowledge-Based Route Planning |
| Time Optimal Robot | navigation | Via The Slack Set Method |
| Topological Direction-Giving And Visual | navigation | In Large Environments |
| Towards Autonomous Mobile Robot | navigation | |
| Traffic Priority Language For Collision-Free | navigation | Of Autonomous Mobile Robots In Dynamic Environments, A |
| Treatment Of Systematic Errors In The Processing Of Wide-Angle Sonar Sensor Data For Robotic | navigation | |
| Two-Dimensional Robot | navigation | Among Unknown Stationary Polygonal Obstacles |
| Underwater | navigation | By Video Sequence Analysis |
| Use Of Optical Flow For The Autonomous | navigation | , The |
| Using Flow Field Divergence For Obstacle Avoidance In Visual | navigation | |
| Using Isolated Landmarks And Trajectories In Robot | navigation | |
| Using Occupancy Grids For Mobile Robot Perception And | navigation | |
| Utility-Based On-Line Exploration For Repeated | navigation | In An Embedded Graph |
| Vision And | navigation | For The Carnegie Mellon Navlab |
| Vision And | navigation | For The Carnegie-Mellon Navlab |
| Vision And | navigation | -The Carnegie Mellon Navlab, Kluwer |
| Vision For Autonomous | navigation | |
| Vision-Based Fuzzy Controllers For | navigation | Tasks |
| Vision-Based | navigation | |
| Vision-Based | navigation | |
| Vision-Based | navigation | |
| Vision-Based | navigation | By A Mobile Robot With Obstacle Avoidance Using Single-Camera Vision And Ultrasonic Sensing |
| Vision-Based | navigation | : A Status Report |
| Vision-Based Pragmatic Strategy For Autonomous | navigation | , A |
| Visual | navigation | Of An Autonomous Vehicle Using White Line Recognition |
| Visual | navigation | System For Automonous Land Vehicles, A |
| Visual | navigation | Using A Single Camera |
| Visual | navigation | --From Biological Systems To Unmanned Ground Vehicles, Erlbaum, Hillsdale |
| Visual Strategies For Mobile Robot | navigation | |
| Visually-Guided | navigation | By Comparing Two-Dimensional Edge Images |
| Vits-A Vision System For Autonomous Land Vehicle | navigation | |
| Weakly-Calibrated Stereo Perception For Rover | navigation | |
| Weakly-Calibrated Stereo Perception For Rover | navigation | |
| Why Direction-Giving Is Hard: The Complexity Of Using Landmarks In One-Dimensional | navigation | |
| ``Retraction'' Method For Learned | navigation | In Unknown Terrains For A Cireular Robot, A |
209 for navigation