… autonomous vehicles and is critical for their intelligence testing. Existing interaction modalities
in autonomous vehicle … , and they barely reflect human-like behaviors in real-world driving …

… This article proposes a system to measure, quantify, and predict human behavior to better
inform an autonomous system. A game-theoretic formulation models driving as a series of …

… Two types of approaches can be used for safe behavior generation; either generate a set of
… on behavior motion, or, the behavior planner decides on the behavior of a target vehicle; then…

… An autonomous vehicle equipped with an active camera head has the … the vehicle for
interacting with the environment. Correspondingly, the upper system level for behavior generation …

… well as a behavior adaptation function, enabling on-line changes of desired behaviors without
re-… The state as well as the reward are extended by a behavior adaptation function and a …

… an autonomous vehicle’s behavior. Finally, building humanlike driving behavior models
automatically supports the generation … Since the decision making for the autonomous vehicles at …

… The focus of this work is to show that collision avoiding pedestrian behavior models can be
successfully used in autonomous AV test case generation given enough constraints on the …

… and 2) how we should quantify them and integrate them into the behavior generation …
social behaviors of humans via imitation learning or model-based behavior generation [3]–[6…

… These systems can exhibit a variety of performance modes, which we define as discrete
types of behaviors that can can be derived from observable metrics of the mission. For example, …

… decision engine to determine which behavior the autonomous system is executing. Instead,
we must use externally observable states and infer changes in behavior from changes in the …