… for an autonomous vehicle in uncertain multi-vehicle traffic environments. … vehicles, and
the advantage of model predictive control (MPC) in planning an optimal trajectory in uncertain …

… safety under the perception uncertainty, which uses the uncertain obstacle representation of
occupancy space to estimate the location of each obstacle and approximate each obstacle’s …

… the vehicle’s actuators. Each module of the process will be covered in this paper for the specific
case of obstacle … according to many formalisms to handle the noisy and uncertain sensor …

… both the uncertainty caused by autonomous vehicles and other … the uncertainties caused
by both the autonomous vehicle itself … 3) Dynamic obstacle costs: The dynamic obstacles con…

… the vehicle approaches two obstacles. Similar to the scenario detailed in section VII-A, the
vehicle encounters an obstacle in … Immediately after the first obstacle the vehicle encounters a …

… greatest source of uncertainty in trajectory planning for autonomous vehicles. This problem
… under agent or obstacle uncertainty either assume Gaussian uncertainty or linear constraints, …

… , the uncertainty potential field is established to handle the position uncertainty of autonomous
vehicles. … , rollover risk and obstacle avoidance which considers position uncertainty and …

… uncertainty evaluation technique for NNs-based motion prediction methods and develop an
uncertainty… processed using the MPC theory to achieve road regulation and avoid obstacles. …

… to uncertainties in the pose estimation for the ego vehicle as well as for the surrounding
obstacles. … to satisfy real-time obstacle avoidance requirements under uncertainty. Our proposed …

… uncertainty in the behavior of the driver to probabilistic constraint satisfaction in the model
predictive controller. The uncertainty … as the vehicle approaches a roadside obstacle. Figure 2 …