Ryuta Terashima

Toward human-like lane following behavior in urban environment with a learning-based behavior-induction potential map

In order to achieve harmony in the mixed traffic, it is crucial to have autonomous vehicles behave like human drivers. This work addresses a vision-based approach toward human-like lane following behavior in complex urban environment. At first, a deep architecture is adopted to generate a set of veh…