… In this paper, we consider the behavior planning of an autonomous car in a multi-agent
environment with perception uncertainties. Except for the autonomous car, denoted as R, we …

… We hear about this behavior often in autonomous cars today: they are defensive. Enabling
them to plan in a manner that is cognizant that they can affect other driver actions can make …

… The autonomous car in our example is meant to make way as fast as possible, while at the
same time avoiding to hit other cars or to leave the road. Additionally, we want it to drive as …

… effects of imperfect vehicle controllers or cooperation between cars. In this paper, we propose
a novel behavioral planning framework that combines the strengths of the hierarchical and …

… behavior planning techniques anticipate the behaviors of all traffic participants; then it
reasonably decides the best and safest behavior … such types of approaches in behavior planning. …

… start seeing behavior go from too conservative to too aggressive. The car’s behavior exposes
… We think that the autonomous car of the future should be safe, efficient, and courteous to …

… We define Bautonomy[ in a car as the car making driving … car today: Bcruise control[ and
BAntilock Brake Systems[ (ABS) are prime examples of systems exhibiting autonomous behavior…

… Driving in autonomous cars requires trust, especially in case of unexpected driving behavior
… This work evaluates mental models that experts and non-expert users have of autonomous …

… express the behavior change over time because just one behavior is selected … behavioral
trajectory planning as behavior planning The Behavioral trajectory represents the behavior by …

… [15] used DDPG [19] to teach a human-like autonomous car-following model, which has high
trajectory-reproducing accuracy and generalized-capability. Based on parameterized batch …