Title :
An FPGA-based CollisionWarning System Using Hybrid Approach
Author :
Liang, Haichao ; Morie, Takashi ; Suzuki, Youhei ; Nakada, Kazuki ; Miki, Tsutomu ; Hayashi, Hatsuo
Author_Institution :
Kyushu Inst. of Technol., Kitakyushu
Abstract :
In this paper, we propose an FPGA-based collision warning system for advanced automobile driver assistance systems or autonomous moving robots. The system consists of three function blocks: coarse edge detection using a resistive-fuse network, moving-object detection inspired by neuronal propagation in the hippocampus, and danger evaluation and collision warning using fuzzy inference. The first two functions are implemented in FPGAs. The system can detect moving objects with a speed range of 3-192 km/h with a sampling period of 30 ms for an input image of 320 x 256 pixels, and can output a warning against dangerous regions in the input image.
Keywords :
automated highways; collision avoidance; edge detection; field programmable gate arrays; fuzzy reasoning; image motion analysis; mobile robots; object detection; traffic engineering computing; FPGA; advanced automobile driver assistance systems; autonomous moving robots; coarse edge detection; collision warning system; danger evaluation; fuzzy inference; hippocampus; hybrid approach; moving-object detection; neuronal propagation; resistive-fuse network; Alarm systems; Automobiles; Field programmable gate arrays; Fuzzy neural networks; Fuzzy systems; Hippocampus; Image edge detection; Object detection; Road accidents; Robots;
Conference_Titel :
Hybrid Intelligent Systems, 2007. HIS 2007. 7th International Conference on
Conference_Location :
Kaiserlautern
Print_ISBN :
978-0-7695-2946-2
DOI :
10.1109/HIS.2007.38
