… the human-driven car (orange car) when the autonomous car (white car) plans to cross an
… orange car gets closer to the autonomous car, and for a slightly higher δ = 0.05 the two cars …

… autonomous driving algorithm (such as perception and plan… requirements of a map for
autonomous cars. A probe vehicle … road geometry data for autonomous cars. The implementation …

… The goal of this research is to incorporate traffic mirror data into the behavior planning
module. Thus, in the simulator, we set up a simple perception module for observing simulated …

… participants helps to plan the maneuver of an autonomous vehicle, … that generate the
probabilistic behavior of traffic participants, … However, the results independently show the behavior …

… In our autonomous driving planning architecture [2], the … change behavior generator works
as a module in the Behavioral … surrounding cars of the autonomous car include the leading car …

… planning based approach for the behavioral layer is presented by Hubmann et al. [13].
Although interactions between the autonomous car … and fast re-planning behavior. Nonetheless, …

This thesis considers a problem of controlling an autonomous car cooperating with human-driven
cars. Proposed proactive collision avoidance system incorporates human-driver’s …

… planning from its standpoint, accounting for its current state. This strategy is similar to our
factorization of potential driving behavior … Our autonomous car platform, used to record the traffic…

… Sunwoo, “Development of autonomous car—Part ii: A case study on the implementation of
an autonomous driving system based on distributed architecture,” IEEE Trans. Ind. Electron., …

… In this thesis, we present a series of behavior planning structures and algorithms that are
based on the advantages coming from both reinforcement learning and heuristic-based rules-…