Pedestrian recognition with false positive detection by model-based tracking
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Use of High-Fidelity Simulation to Evaluate Driver Performance with Vehicle Automation Systems
EPCE '09 Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009
Pedestrian recognition with false positive detection by model-based tracking
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Texture-based objects recognition for vehicle environment perception using a multiband camera
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
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A night-vision system has been developed to help reduce vehicle-pedestrian accidents occurring at night. High-temperature objects assumed to be pedestrians are detected by processing the images from infrared stereo cameras mounted on the. vehicle, and the possibility of a collision is judged by calculating the position and relative moving vectors of the pedestrian. In addition, voice guidance is provided and a highlighted infrared image of the pedestrian is displayed at the bottom of the front windshield using a head-up display (HUD). It was determined that the system could judge the possibility of collisions with pedestrians on the road or crossing the road.