Dynamic Window Approach with Human Imitating Collision Avoidance
Sango Matsuzaki Shinta Aonuma Yuji Hasegawa Sango Matsuzaki Shinta Aonuma Yuji Hasegawa
The autonomous navigation in the crowded environment is a challenging task due to the sensor occlusion and the complex nature of the abstract social interactions. And yet, humans are capable of navigating in such complex environment. In this paper, we propose an effective navigation method that combines the learning-based and model-based methods in a way that a cost function that includes human im...