… Unlike CC-POMDP, our CC-SSP formulation scales polynomially in the planning horizon …
problems, including a highway behavior planning problem for autonomous vehicles (Fig. 1). …

… 14 charts the vehicle’s behavior … autonomous driving in terms of decision making and
planning. All concepts introduced in this article were demonstrated using our autonomous vehicles. …

… successful autonomous vehicle motion planning. We investigate how an autonomous agent
… capable of generating and responding to interactive behaviors. Our main contribution is to …

… proposes behavioral trajectory planning as behavior planning The Behavioral trajectory
represents the behavior … A maneuver that autonomous vehicles should follow is decided by the …

… • By imitating the behavior of human drivers, we introduce a novel mapless learning-based
planning method for autonomous vehicles in different occasions, with less prior information …

… for autonomous vehicles. Trajectory planning is a significant component of autonomous
vehicle … according to the current state of autonomous vehicle. Different prediction horizons and …

… during planning will generate behaviors for autonomous cars … -based method for planning
an autonomous vehicle’s behavior in a … This optimization leads to plans like the ones in Fig.1. …

… autonomous behavior. We propose a framework for evolving semi autonomous vehicle behavior
… The focus in this paper is on the path planning component of semi-autonomous vehicle …

… Planning safe motions for autonomous vehicles (AVs) in such interactive environments, …
of the ego’s intended motion plan on nearby agents’ behavior. Deep-learning-based models …

… work that current route planning approaches are not readily … vehicles at different levels of
autonomy. In light of this, we review the enabling technologies for more capable route planning …