Car Drivers Body Motion Estimation for Safety Driving using Particle Filter
Car drivers motion estimation is important for developing safety driving systems. We propose to use particle filters for this purpose. Several sensors, such as camera to capture drivers face, velocity sensor using Doppler Effect of microwave for drivers foot motions, and microphones to record and to identify drivers voice, are placed at experimental cabin of driving simulator with three display panels. From these sensor signals, particle filters estimate the information to be obtained based on some elaborated state space models. So obtained information are gathered to server machine for making global recognition of the drivers body motion. We have implemented the data gathering system based on server-client framework on TCP/IP.
Safety Driving Support System Body Motion Particle Filter
Norikazu Ikoma Yuhei Tanaka Takeshi Nishida Kazuhiko Kawamoto Yousuke Inokuchi Ippei Miyasita
Faculty of Engineering, Kyushu Institute of Technology Kita-Kyushu, Fukuoka 804-8550,Japan Faculty of Engineering, Chiba University, Japan DENSO CORP., Japan Kandenko Corp., Japan
国际会议
哈尔滨
英文
17-25
2010-08-01（万方平台首次上网日期，不代表论文的发表时间）