Accurate and fast obstacle detection method for automotive applications based on stereo vision

Author(s):  
Yi-Chin Tsai ◽  
Kuan-Hung Chen ◽  
Yun Chen ◽  
Jih-Hsiang Cheng
2014 ◽  
Vol 496-500 ◽  
pp. 1426-1429
Author(s):  
Zhi Li Zhang ◽  
Ying Ying Song ◽  
Wei Dong Zhang ◽  
Shuo Yin

Walking is a basic function of humanoid robot, this paper presents key ideas of stereo vision based humanoid walking. Image processing techniques and pattern recognition techniques are employed for the obstacle detection and object recognition, data fitting technique is also used to plan the path of the humanoid robot. High precision visual feedback is provided by the combination of real time high precision feature detection and high actuary object detection method. The proposed stereo vision based approach and robot guidance system were evaluated partly by experiments and partly by the simulation with the humanoid robot.


2014 ◽  
Vol 60 (4) ◽  
pp. 587-595 ◽  
Author(s):  
Mun-cheon Kang ◽  
Kwang-shik Kim ◽  
Dong-ki Noh ◽  
Jong-woo Han ◽  
Sung-jea Ko

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