Trajectory planning and safety assessment of autonomous vehicles based on motion prediction and model predictive control

Y Wang, Z Liu, Z Zuo, Z Li, L Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… for autonomous vehicles. Trajectory planning is a significant component of autonomous
vehicle … according to the current state of autonomous vehicle. Different prediction horizons and …

Non-gaussian chance-constrained trajectory planning for autonomous vehicles under agent uncertainty

A Wang, A Jasour, BC Williams - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
behavior is arguably the greatest source of uncertainty in trajectory planning for autonomous
vehicles… This problem has motivated significant amounts of work in the behavior prediction …

Conditional predictive behavior planning with inverse reinforcement learning for human-like autonomous driving

Z Huang, H Liu, J Wu, C Lv - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
behavior planning framework that learns to predict and evaluate from human driving data.
This framework consists of three components: a behavior … for the autonomous vehicle to follow. …

Human-centered trajectory tracking control for autonomous vehicles with driver cut-in behavior prediction

Y Chen, C Hu, J Wang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
… drivers’ cut-in behaviors, the autonomous vehicle is controlled to yield to the cut-in vehicle
that is … de La Fortelle, "High-speed trajectory planning for autonomous vehicles using a simple …

Interaction-aware trajectory prediction and planning for autonomous vehicles in forced merge scenarios

K Liu, N Li, HE Tseng, I Kolmanovsky… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
… Moreover, this model facilitates the highway merging human driver behavior we have all
observed – an on-ramp vehicle may choose to merge and force the traffic in the main lane to …

A comparative study of state-of-the-art driving strategies for autonomous vehicles

C Zhao, L Li, X Pei, Z Li, FY Wang, X Wu - Accident Analysis & Prevention, 2021 - Elsevier
behavior of vehicle A influences vehicle B, this impact will be reflected in the maneuvering
behavior … itself, but also the logic model, prediction and planning behind the behavior, as well …

Hybrid trajectory planning for autonomous driving in on-road dynamic scenarios

W Lim, S Lee, M Sunwoo, K Jo - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… road, the ideal behavior of an autonomous vehicle is to move along the road if there are no
… In this study, we assumed that a proper maneuver was provided from the behavior planning

Autonomous driving at intersections: A behavior-oriented critical-turning-point approach for decision making

K Shu, H Yu, X Chen, S Li, L Chen… - IEEE/ASME …, 2021 - ieeexplore.ieee.org
… human-driven vehicles make decision making and planning for autonomous vehicles (AVs)
at … Making left turns when the oncoming vehicles are not using turn signals is one of the most …

Fail-safe motion planning for online verification of autonomous vehicles using convex optimization

C Pek, M Althoff - IEEE Transactions on Robotics, 2020 - ieeexplore.ieee.org
… scenarios on an actual vehicle. Moreover, we … planning has the potential to drastically
reduce accidents while not resulting in overly conservative behaviors of the autonomous vehicle

What humanlike errors do autonomous vehicles need to avoid to maximize safety?

AS Mueller, JB Cicchino, DS Zuby - Journal of safety research, 2020 - Elsevier
… Related to speeding behavior in the planning and deciding category, we also searched
the case descriptions for the following key terms to be included in this category: “traveling [or …