15.3 Autonomous Vehicles

Chapter Contents (Back)
Autonomous Vehicles. Mobile Robots. There were other papers at the DARPA87 meeting that describe proposed or actual systems to do the navigation task with a variety of assumptions. Many are not listed here since there is no vision involved, or it is described elsewhere. See path planning:
See also Planning Vehicle Position, Path Planning or Route Planning. Also includes other vehicle control issues.
See also Wheelchairs, Control, Design, Ssystem.

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Brooks, R.A.,
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IEEE DOI 0403
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Buy this book: Intelligent Robots - Sensing, Modeling and Planning: Sensing, Modeling and Planning (Series in Machine Perception and Artificial Intelligence, Vol 27) Path and Motion Planning, Navigation and Sensing, Localization and Visibility, Vision, Shape, and Object Recognition, Environment Modeling, Fixture Design and Grasping, Distributed Systems, Ecological Systems, Learning, and Robot Control, Applications BibRef

Thrun, S.[Sebastian],
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CACM(53), No. 4, April 2010, pp. 99-106.
DOI Link 1101
Survey, Autonomous Vehicles. Recent challenges organized by DARPA have induced a significant advance in technology for autopilots for cars; similar to those already used in aircraft and marine vessels. This article reviews this technology. BibRef

Meier, L.[Lorenz], Fraundorfer, F.[Friedrich], and Pollefeys, M.[Marc],
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SPIE(Newsroom), January 13, 2011.
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A micro air vehicle with onboard intelligence can maneuver in hard-to-reach parts of disaster areas and provide video images for search-and-rescue operations. BibRef

Schneiderman, R.,
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Subudhi, B., Ge, S.S.,
Sliding-Mode-Observer-Based Adaptive Slip Ratio Control for Electric and Hybrid Vehicles,
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IEEE DOI 1212
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Shankar, R., Marco, J.,
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Murray, C.C., Park, W.,
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IEEE DOI 1307
Aircraft; Aircraft control human factors; human-machine interactions BibRef

Guizzo, E.,
Rescue-robot show-down,
Spectrum(51), No. 1, January 2014, pp. 52-55.
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Visual Control of Wheeled Mobile Robots: Unifying Vision and Control in Generic Approaches,

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Control theory and computer vision for robot control. BibRef

Bajcsy, R.[Ruzena],
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CACM(56), No. 5, May 2014, pp. 42-43.
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IEEE DOI 1407
Cities and towns BibRef

Kugler, L.[Logan],
Robots Compete in Disaster Scenarios,
CACM(56), No. 7, July 2014, pp. 16-18.
DOI Link 1407
The DARPA Robotics Challenge pitted teams from around the world against each other in a series of disaster-themed tasks. BibRef

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SMCS(44), No. 8, August 2014, pp. 981-994.
IEEE DOI 1407
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Yliniemi, L.[Logan], Agogino, A.K.[Adrian K.], Tumer, K.[Kagan],
Multirobot Coordination for Space Exploration,
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Evolutionary Fuzzy Control and Navigation for Two Wheeled Robots Cooperatively Carrying an Object in Unknown Environments,
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IEEE DOI 1509
ant colony optimisation BibRef

Guzmán, R.[Roberto], Hayet, J.B.[Jean-Bernard], Klette, R.[Reinhard],
Towards Ubiquitous Autonomous Driving: The CCSAD Dataset,
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Phamduy, P., de Bellis, M., Porfiri, M.,
Controlling a Robotic Fish Via a Natural User Interface for Informal Science Education,
MultMed(17), No. 12, December 2015, pp. 2328-2337.
IEEE DOI 1512
Marine animals BibRef

Wang, N.[Ning], Er, M.J.[Meng Joo], Sun, J.C.[Jing-Chao], Liu, Y.C.[Yan-Cheng],
A Novel Extreme Learning Control Framework of Unmanned Surface Vehicles,
Cyber(46), No. 5, May 2016, pp. 1106-1117.
IEEE DOI 1604
Approximation error BibRef

Wang, N.[Ning], Er, M.J.[Meng Joo], Sun, J.C.[Jing-Chao], Liu, Y.C.[Yan-Cheng],
Adaptive Robust Online Constructive Fuzzy Control of a Complex Surface Vehicle System,
Cyber(46), No. 7, July 2016, pp. 1511-1523.
IEEE DOI 1606
Adaptive systems BibRef

Goodall, N.J.,
Can you program ethics into a self-driving car?,
Spectrum(53), No. 6, June 2016, pp. 28-58.
IEEE DOI 1606
Accidents BibRef

Li, B.[Boyuan], Du, H.P.[Hai-Ping], Li, W.H.[Wei-Hua],
Trajectory control for autonomous electric vehicles with in-wheel motors based on a dynamics model approach,
IET-ITS(10), No. 5, 2016, pp. 318-330.
DOI Link 1608
electric vehicles BibRef

Li, B.[Boyuan], Du, H.P.[Hai-Ping], Li, W.H.[Wei-Hua],
A Potential Field Approach-Based Trajectory Control for Autonomous Electric Vehicles With In-Wheel Motors,
ITS(18), No. 8, August 2017, pp. 2044-2055.
IEEE DOI 1708
Electric vehicles, Force, Tires, Trajectory, Vehicle dynamics, Wheels, Autonomous vehicle control, four-wheel independent driving, four-wheel independent steering, potential field method, vehicle, dynamics BibRef

Li, W.F.[Wen-Fei], Du, H.P.[Hai-Ping], Li, W.H.[Wei-Hua],
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IET-ITS(12), No. 10, December 2018, pp. 1300-1311.
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Farm Automation Gets Smarter,
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DOI Link 1611
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Autonomous ships on the high seas,
Spectrum(54), No. 2, February 2017, pp. 26-31.
IEEE DOI 1702
Marine communication BibRef

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No Need for Speed: More Signal Processing Innovation Is Required Before Adopting Automated Vehicles,
SPMag(34), No. 2, March 2017, pp. 124-122.
IEEE DOI 1703
[In the Spotlight] article. Automotive engineering BibRef

Ma, J.W.[Jian-Wei], Shi, J.Y.[Jia-Yu], Zhang, H.T.[Hai-Tao],
Trajectory Tracking Optimal Control for Nonholonomic Mobile Robot,
Sensors(208), No. 1, January 2017, pp.22-27:
HTML Version. 1705
BibRef

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New Directions in Navigation and Positioning: Signal processing-enabled technologies pinpoint people, places, and things,
SPMag(34), No. 3, May 2017, pp. 10-13.
IEEE DOI 1705
Special Report item. Atomic beams, Atomic measurements, Extraterrestrial measurements, Frequency measurement, Global Positioning System, Gyroscopes, Mobile communication, Navigation, Signal processing, Tracking BibRef

Ingrand, F.[Félix], Ghallab, M.[Malik],
Deliberation for autonomous robots: A survey,
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Elsevier DOI 1705
Robotics BibRef

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A Framework for Predicting Future System Performance in Autonomous Unmanned Ground Vehicles,
SMCS(47), No. 7, July 2017, pp. 1192-1206.
IEEE DOI 1706
Complexity theory, Measurement, Modeling, Navigation, Predictive models, Robots, System performance, Mobile robots, modeling, systems engineering, unmanned, ground, vehicles, (UGVs) BibRef

Kim, S.W., Gwon, G.P., Hur, W.S., Hyeon, D., Kim, D.Y., Kim, S.H., Kye, D.K., Lee, S.H., Lee, S., Shin, M.O., Seo, S.W.,
Autonomous Campus Mobility Services Using Driverless Taxi,
ITS(18), No. 12, December 2017, pp. 3513-3526.
IEEE DOI 1712
Automobiles, Bicycles, Layout, Public transportation, Roads, Sensors, Autonomous driving vehicle, campus mobility service, one-way shared urban mobility BibRef

Amigoni, F., Banfi, J., Basilico, N.,
Multirobot Exploration of Communication-Restricted Environments: A Survey,
IEEE_Int_Sys(32), No. 6, November 2017, pp. 48-57.
IEEE DOI 1801
Mobile robots, Multi-robot systems, Robot kinematics, Spread spectrum communication, Task analysis, Videos, robotics BibRef

Choi, Y., Kim, N., Hwang, S., Park, K., Yoon, J.S., An, K., Kweon, I.S.,
KAIST Multi-Spectral Day/Night Data Set for Autonomous and Assisted Driving,
ITS(19), No. 3, March 2018, pp. 934-948.
IEEE DOI 1804
Calibration, Cameras, Laser radar, Optical distortion, Optical imaging, Optical sensors, Thermal sensors, Dataset, multi-spectral vehicle system BibRef

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IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Hooey, B.L., Kaber, D.B., Adams, J.A., Fong, T.W., Gore, B.F.,
The Underpinnings of Workload in Unmanned Vehicle Systems,
HMS(48), No. 5, October 2018, pp. 452-467.
IEEE DOI 1809
Automation, Unmanned vehicles, Complex systems, Load modeling, Automation, cognitive models, remotely operated vehicles (ROVs), workload BibRef

Jin, L., Li, S., Xiao, L., Lu, R., Liao, B.,
Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises,
SMCS(48), No. 10, October 2018, pp. 1715-1724.
IEEE DOI 1809
Manipulators, Neural networks, Robot kinematics, Real-time systems, Redundancy, Trajectory, Distributed control, kinematic control, redundancy resolution BibRef

Ross, P.E.,
Iceland's consumers try drone delivery: The startup Aha takes on Amazon with basic drones bearing burgers,
Spectrum(55), No. 10, October 2018, pp. 12-13.
IEEE DOI 1810
[News]. Drones, Food packaging, Packaging, Consumer electronics BibRef

Liu, W.[Wei], Li, Z.H.[Zhi-Heng],
Comprehensive predictive control method for automated vehicles in dynamic traffic circumstances,
IET-ITS(12), No. 10, December 2018, pp. 1455-1463.
DOI Link 1812
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Ross, P.E.,
Taxis without drivers-or steering wheels,
Spectrum(56), No. 01, January 2019, pp. 33-34.
IEEE DOI 1901
Automotive engineering, Companies, Autonomous automobiles, Unmanned autonomous vehicles, Autonomous vehicles BibRef

Yang, S., Wang, W., Liu, C., Deng, W.,
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles,
SMCS(49), No. 1, January 2019, pp. 53-63.
IEEE DOI 1901
Feature extraction, Visualization, Autonomous vehicles, Deconvolution, Roads, Training, Autonomous vehicles, scene understanding BibRef

Ni, J., Hu, J., Xiang, C.,
An AWID and AWIS X-By-Wire UGV: Design and Hierarchical Chassis Dynamics Control,
ITS(20), No. 2, February 2019, pp. 654-666.
IEEE DOI 1902
Vehicle dynamics, Wheels, Task analysis, Dynamics, Roads, Force, Tires, Unmanned ground vehicle, mobile robot, X-by-wire, robust control BibRef

Schneider, D.,
Regulators seek ways to down rogue drones: Growing antidrone industry offers radar, remote ID, and other tools,
Spectrum(56), No. 04, April 2019, pp. 10-11.
IEEE DOI 1904
[News] BibRef

Li, B.Q.[Bao-Quan], Zhang, X.B.[Xue-Bo], Fang, Y.C.[Yong-Chun], Shi, W.[Wuxi],
Visual Servoing of Wheeled Mobile Robots Without Desired Images,
Cyber(49), No. 8, August 2019, pp. 2835-2844.
IEEE DOI 1905
Mobile robots, Visual servoing, Visualization, Robot kinematics, Task analysis, Manipulators, Adaptive control, concurrent learning, visual servoing BibRef

Zhang, X.[Xuebo], Wang, R.H.[Run-Hua], Fang, Y.C.[Yong-Chun], Li, B.Q.[Bao-Quan], Ma, B.J.[Bo-Jun],
Acceleration-Level Pseudo-Dynamic Visual Servoing of Mobile Robots With Backstepping and Dynamic Surface Control,
SMCS(49), No. 10, October 2019, pp. 2071-2081.
IEEE DOI 1909
Mobile robots, Acceleration, Visual servoing, Kinematics, Backstepping, Visualization, Acceleration level, backstepping, visual servoing BibRef

Yin, C.H.[Cheng-Hao], Li, B.Q.[Bao-Quan], Shi, W.[Wuxi], Sun, N.[Ning],
Visual Servoing of Wheeled Mobile Robots Under Dynamic Environment,
CVS17(37-46).
Springer DOI 1711
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IEEE DOI 1906
Semantics, Computational modeling, Image segmentation, Automation, Object detection, Solid modeling, virtual dataset BibRef

Schouten, G., Steckel, J.,
Principles of Biological Echolocation Applied to Radar Sensing: Applying biomimetic sensors to achieve autonomous navigation,
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IEEE DOI 1907
Radar, Robot sensing systems, Radar antennas, Receivers, Frequency modulation BibRef

Chen, S.,
Multimedia for Autonomous Driving,
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IEEE DOI 1909
Autonomous automobiles, Autonomous vehicles, Automobiles, Road traffic, Sensors, Deep learning, Computational modeling BibRef

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IJGI(8), No. 11, 2019, pp. xx-yy.
DOI Link 1912
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Cui, L.[Liu], Wei, Y.[Yan], Wang, Y.[Yueying],
Finite-time trajectory tracking control for autonomous airships with uncertainties and external disturbances,
IET-ITS(14), No. 5, May 2020, pp. 440-448.
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IET-ITS(14), No. 5, May 2020, pp. 449-454.
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Nam, C., Walker, P., Li, H., Lewis, M., Sycara, K.,
Models of Trust in Human Control of Swarms With Varied Levels of Autonomy,
HMS(50), No. 3, June 2020, pp. 194-204.
IEEE DOI 2005
Task analysis, Robot sensing systems, Robot kinematics, Predictive models, Automation, Computational modeling, trust BibRef

Chien, S., Lewis, M., Sycara, K., Kumru, A., Liu, J.,
Influence of Culture, Transparency, Trust, and Degree of Automation on Automation Use,
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IEEE DOI 2005
Automation, Thermostats, Cultural differences, Face, Furnaces, Task analysis, Temperature measurement, Automation transparency, trust in automation BibRef

Bhaskara, A., Skinner, M., Loft, S.,
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HMS(50), No. 3, June 2020, pp. 215-224.
IEEE DOI 2005
Task analysis, Automation, Autonomous agents, Robot sensing systems, Australia, Aircraft, Automation, unmanned autonomous vehicles BibRef

Roth, G., Schulte, A., Schmitt, F., Brand, Y.,
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HMS(50), No. 3, June 2020, pp. 225-233.
IEEE DOI 2005
Task analysis, Planning, Helicopters, Tools, Proposals, Man-machine systems, Automation, Adaptive associate systems, transparency BibRef

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Individual Differences in Trust in Autonomous Robots: Implications for Transparency,
HMS(50), No. 3, June 2020, pp. 234-244.
IEEE DOI 2005
Cognitive science, Robot kinematics, Tools, Task analysis, Automation, Psychology, Autonomous systems, individual differences, trust BibRef

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HMS(50), No. 3, June 2020, pp. 245-253.
IEEE DOI 2005
Decision making, Uncertainty, Task analysis, Calibration, Atmospheric measurements, Particle measurements, Time factors, workload BibRef

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IEEE DOI 2005
Reliability, Robots, Task analysis, Monitoring, Object detection, Cognition, Decision making, Agent transparency, confidence, trust BibRef

Vered, M., Howe, P., Miller, T., Sonenberg, L., Velloso, E.,
Demand-Driven Transparency for Monitoring Intelligent Agents,
HMS(50), No. 3, June 2020, pp. 264-275.
IEEE DOI 2005
Task analysis, Cognition, Monitoring, Intelligent agents, Robots, Predictive models, Australia, Decision support systems, intelligent systems BibRef

Guo, J., Kurup, U., Shah, M.,
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ITS(21), No. 8, August 2020, pp. 3135-3151.
IEEE DOI 2008
Roads, Autonomous vehicles, Measurement, Autonomous automobiles, Task analysis, Meteorology, Autonomous driving, traffic hazards BibRef

Huang, X.Y.[Xin-Yu], Wang, P.[Peng], Cheng, X.J.[Xin-Jing], Zhou, D.F.[Ding-Fu], Geng, Q.C.[Qi-Chuan], Yang, R.G.[Rui-Gang],
The ApolloScape Open Dataset for Autonomous Driving and Its Application,
PAMI(42), No. 10, October 2020, pp. 2702-2719.
IEEE DOI 2009
Dataset, Autonomous Driving. Semantics, Task analysis, Videos, Labeling, Image segmentation, 3D understanding BibRef

Huang, X.Y.[Xin-Yu], Cheng, X.J.[Xin-Jing], Geng, Q.C.[Qi-Chuan], Cao, B., Zhou, D.F.[Ding-Fu], Wang, P., Lin, Y., Yang, R.G.[Rui-Gang],
The ApolloScape Dataset for Autonomous Driving,
AutoDrive18(1067-10676)
IEEE DOI 1812
Videos, Labeling, Semantics, Cameras, Pipelines BibRef

Ackerman, E., Guizzo, E.,
A robot that keeps it simple: Hello robot wants to reinvent how autonomous machines perform tasks at home,
Spectrum(57), No. 10, October 2020, pp. 11-11.
IEEE DOI 2009
Robot sensing systems, Service robots, Buildings, Medical services, Manipulators, Task analysis BibRef

How robots became essential workers: They disinfected hospital rooms. They delivered medical supplies. They swabbed people's throats. Next time around, they'll be treating patients,
Spectrum(57), No. 10, October 2020, pp. 36-43.
IEEE DOI 2009
News article Hospitals, Task analysis, Pathogens, Cameras, Robot vision systems BibRef

Kiani, A.[Arash], Mashhadi, S.K.M.[Seyed Kamaleddin Mousavi],
Adaptive robust control of a four-cable-driven parallel robot,
IJCVR(10), No. 5, 2020, pp. 465-488.
DOI Link 2011
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Zheng, Y., Brudnak, M.J., Jayakumar, P., Stein, J.L., Ersal, T.,
Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs,
HMS(50), No. 6, December 2020, pp. 561-572.
IEEE DOI 2011
Human in the loop, Predictive models, Land vehicles, Unmanned vehicles, Simulation, Military vehicles, unmanned ground vehicles (UGVs) BibRef

Panwar, S.,
Breaking the millisecond barrier: Robots and self-driving cars will need completely reengineered networks,
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IEEE DOI 2011
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IEEE DOI 2102
Estimation, Training, Task analysis, Autonomous vehicles, Learning systems, Path planning, Imbalanced training, SteeringLoss, autonomous driving BibRef

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ITS(22), No. 3, March 2021, pp. 1718-1732.
IEEE DOI 2103
Autonomous vehicles, Autonomous automobiles, Automobiles, Real-time systems, Machine learning, Companies, Hardware, intelligent transportation systems BibRef

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IEEE DOI 2106
Data models, Vehicle dynamics, Adaptation models, Probabilistic logic, Vehicles, Self-awareness, deep generative models BibRef

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IEEE DOI 2110
Observers, Convergence, Mobile robots, Robust control, Nonlinear systems, Uncertainty, Tuning, wheeled mobile robot (WMR) BibRef

Krzysiak, R.[Rafal], Butail, S.[Sachit],
Information-Based Control of Robots in Search-and-Rescue Missions With Human Prior Knowledge,
HMS(52), No. 1, February 2022, pp. 52-63.
IEEE DOI 2201
Robots, Robot sensing systems, Uncertainty, Particle measurements, Atmospheric measurements, Probability density function, teleoperation BibRef

Shi, Z.Q.[Zhu-Qing], Chen, H.[Hong], Qu, T.[Ting], Yu, S.Y.[Shu-You],
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HMS(52), No. 5, October 2022, pp. 1036-1048.
IEEE DOI 2209
Vehicles, Vehicle safety, Control systems, Correlation, Attitude control, Torque, Switches, Driver trust, model predictive control (MPC) BibRef

Kotseruba, I.[Iuliia], Tsotsos, J.K.[John K.],
Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets,
ITS(23), No. 11, November 2022, pp. 19907-19928.
IEEE DOI 2212
Vehicles, Task analysis, Visualization, Recording, Accidents, Monitoring, Visual attention, driving, gaze prediction, review BibRef

Li, X.F.[Xue-Fang], Liu, C.Y.[Cheng-Yuan], Chen, B.[Boli], Jiang, J.J.[Jing-Jing],
Robust Adaptive Learning-Based Path Tracking Control of Autonomous Vehicles Under Uncertain Driving Environments,
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IEEE DOI 2212
Uncertainty, Vehicle dynamics, Convergence, Adaptation models, Robustness, Autonomous vehicles, Adaptive learning, convergence analysis BibRef

Liu, X.[Xiang], Wu, Y.Q.[Yuan-Qing],
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IEEE DOI 2307
Wheels, Feature extraction, Target recognition, Image recognition, Cameras, Kinematics, Training, Broad learning system (BLS), intelligent car BibRef

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Kothandaraman, D.[Divya], Chandra, R.[Rohan], Manocha, D.[Dinesh],
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multi-agent systems, remotely operated vehicles, road vehicles, visual multiagent settings, autonomous vehicles, roads, Zirconium BibRef

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Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
ALV, Autonomous Vehicles, Robotic Systems or Vehicles, Autonomous Robots .


Last update:Mar 16, 2024 at 20:36:19