Yoon, P J.,
Precrash Dipping Nose (PCDN) Needs Pedestrian Recognition,
ITS(9), No. 4, December 2008, pp. 678-687.
IEEE DOI 0812
Improved pedestrian tracking for urban planning,
SPIE(Newsroom), December 17, 2009.
DOI Link 0912
Enhanced image-analysis methods enable new applications for public-transport scheduling, traffic control, and safety monitoring. BibRef
Outdoor/indoor Vision-based Localization For Blind Pedestrian Navigation Assistance,
IJIG(10), No. 4, October 2010, pp. 481-496.
DOI Link 1101
Active Pedestrian Safety by Automatic Braking and Evasive Steering,
ITS(12), No. 4, December 2011, pp. 1292-1304.
IEEE DOI 1112
Pedestrians tracked for scheduling, traffic control, and safety,
VisSys(16), No. 2, February 2011.
HTML Version. News item refrencing SLR Engineering work. See also SLR Engineering. BibRef 1102
Pedestrian Safety Analysis in Mixed Traffic Conditions Using Video Data,
ITS(13), No. 4, December 2012, pp. 1832-1844.
IEEE DOI 1212
Extended Feature Descriptor and Vehicle Motion Model with Tracking-by-Detection for Pedestrian Active Safety,
IEICE(E97-D), No. 2, February 2013, pp. 296-304.
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Extended Co-occurrence HOG with Dense Trajectories for Fine-Grained Activity Recognition,
Springer DOI 1504
Integrating Off-Board Cameras and Vehicle On-Board Localization for Pedestrian Safety,
ITS(14), No. 2, 2013, pp. 720-730.
IEEE DOI 1307
Navigation; Safety; Tracking; Autonomous vehicles; pedestrian detection BibRef
Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation,
ITS(14), No. 3, 2013, pp. 1346-1359.
IEEE DOI 1309
Advanced driver assistance system (ADAS) BibRef
Scene-based pedestrian safety performance model in mixed traffic situation,
IET-ITS(8), No. 3, May 2014, pp. 209-218.
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A cheaper way for robocars to avoid pedestrians,
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IEEE DOI 1507
Evaluation of the Effects of a Personal Mobility Vehicle on Multiple Pedestrians Using Personal Space,
ITS(16), No. 4, August 2015, pp. 2028-2037.
IEEE DOI 1508
Rosado, A.L.[A. López],
Certainty and Critical Speed for Decision Making in Tests of Pedestrian Automatic Emergency Braking Systems,
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IEEE DOI 1706
Analytical models, Automobiles, Computer crashes, Decision making, Safety, Vehicle crash testing, Pedestrian protection, active safety margin, critical speed for decision making, prediction, model BibRef
A Novel Approach for the Test of Active Pedestrian Safety Systems,
ITS(18), No. 5, May 2017, pp. 1299-1312.
IEEE DOI 1705
Accidents, Knee, Legged locomotion, Microscopy, Roads, Safety, Sensor systems, ADAS, pedestrian detection, BibRef
Tools and Methodologies for Autonomous Driving Systems,
PIEEE(106), No. 9, September 2018, pp. 1700-1716.
IEEE DOI 1810
automobiles, embedded systems, mobile robots, pedestrians, road safety, safety-critical software, verification, software tools BibRef
Understanding Human Response to the Presence and Actions of Unmanned Ground Vehicle Systems in Field Environment,
HMS(48), No. 4, August 2018, pp. 325-336.
IEEE DOI 1808
human-robot interaction, mobile robots, pedestrians, remotely operated vehicles, sport, video signal processing, remotely operated vehicles BibRef
Pedestrians' Receptivity Toward Fully Automated Vehicles: Research Review and Roadmap for Future Research,
HMS(48), No. 3, June 2018, pp. 279-290.
IEEE DOI 1805
More the reaction to no driver. Automation, Automobiles, Legged locomotion, Roads, Vehicle crash testing, Autonomous vehicles, virtual reality (VR) BibRef
de Charette, R.,
A Cooperative Car-Following/Emergency Braking System With Prediction-Based Pedestrian Avoidance Capabilities,
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IEEE DOI 1905
Laser radar, Global Positioning System, Kalman filters, Image segmentation, Urban areas, Safety, Cooperative systems, collision avoidance system BibRef
How Communicating Features can Help Pedestrian Safety in the Presence of Self-Driving Vehicles: Virtual Reality Experiment,
HMS(50), No. 2, April 2020, pp. 176-186.
IEEE DOI 2004
Autonomous vehicles (AVs), communicating features, human-automation interaction, pedestrian safety, virtual reality (VR) BibRef
Safe-Net: Solid and Abstract Feature Extraction Network for Pedestrian Attribute Recognition,
IEEE DOI 1910
Pedestrian Attribute, GAN, Image Segmentation BibRef
Pedestrian near-miss analysis on vehicle-mounted driving recorders,
DOI Link 1708
Autonomous vehicles, Benchmark testing, Computer vision, Pattern recognition, Safety, Urban areas, Visualization BibRef
A Cost-Effective Framework for Automated Vehicle-Pedestrian Near-Miss Detection Through Onboard Monocular Vision,
IEEE DOI 1709
Cameras, Feature extraction, Safety, Sensors, Surveillance, Tracking, Videos BibRef
Illuminating Pedestrians via Simultaneous Detection and Segmentation,
IEEE DOI 1802
computer vision, feature extraction, image segmentation, object detection, pedestrians, road safety, BibRef
Pedestrian sensing for increased traffic safety and efficiency at signalized intersections,
IEEE DOI 1111
AVSS 2011 demo session. BibRef
3D vision sensing for improved pedestrian safety,
IEEE DOI 0411
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Detection, Tracking, Infrared, IR, Thermal Images .