An intelligent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle

W Wang, T Qie, C Yang, W Liu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
… Third, based on the above prediction results, an intelligent decision-making strategy is
designed for path planning of autonomous vehicle to ensure driving safety. The prediction method …

nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles

H Caesar, J Kabzan, KS Tan, WK Fong, E Wolff… - arXiv preprint arXiv …, 2021 - arxiv.org
… Existing benchmarks for autonomous vehicle motion prediction have focused on short-term …
focuses on the behavior of other agents, while planning relates to the ego vehicle behavior. …

Potential impact of autonomous vehicles on movement behavior: a scoping review

JC Spence, YB Kim, CG Lamboglia, C Lindeman… - American journal of …, 2020 - Elsevier
… to autonomous vehicles and impact on movement behavior (ie, physical activity, sedentary
behavior, and sleep) or mode choice (eg, public transit), beliefs about movement behavior or …

Learning hierarchical behavior and motion planning for autonomous driving

J Wang, Y Wang, D Zhang, Y Yang… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
… with the existing works on learning behavior planning [6]–[8] … vehicle and the traffic situation,
and the control command ut at time t, we define the system model of the autonomous vehicle

Cooperative multi-vehicle behavior coordination for autonomous driving

T Kessler, A Knoll - 2019 IEEE Intelligent Vehicles Symposium …, 2019 - ieeexplore.ieee.org
… and autonomous vehicles. For a comprehensive interactionaware behavior planning the
predicted behavior … In state of the art algorithms, often the strategic planning layer for behavioral

A two-level path planning method for on-road autonomous driving

L Ma, J Yang, M Zhang - 2012 second international conference …, 2012 - ieeexplore.ieee.org
planning method for on-road autonomous driving. We address the on-road path planning in
three major components: anytime behavioral … -1, an autonomous vehicle prototype modified …

Pedestrians, autonomous vehicles, and cities

A Millard-Ball - Journal of planning education and research, 2018 - journals.sagepub.com
… be able to behave with impunity, and autonomous vehicles may facilitate a shift toward
pedestrian-oriented urban neighborhoods. At the same time, autonomous vehicle adoption may …

A survey of deep reinforcement learning algorithms for motion planning and control of autonomous vehicles

F Ye, S Zhang, P Wang, CY Chan - … IEEE Intelligent Vehicles …, 2021 - ieeexplore.ieee.org
… in behavioral decision-making and motion planning for … introduce perturbation to discourage
undesirable behavior [14]. … in autonomous vehicle decision making and motion planning. …

Path planning for autonomous vehicles using model predictive control

C Liu, S Lee, S Varnhagen… - … IEEE Intelligent Vehicles …, 2017 - ieeexplore.ieee.org
Autonomous Vehicles (AVs), the path planning capability composes one of the core techniques.
Path planning … of a vehicle convoy considering lane change behavior of the preceding …

Driving-behavior-oriented trajectory planning for autonomous vehicle driving on urban structural road

D Zeng, Z Yu, L Xiong, J Zhao… - Proceedings of the …, 2021 - journals.sagepub.com
… -behavior-oriented method is proposed in this paper for improving trajectory planning
performance of autonomous vehicle driving … Therefore, the driving-behavior-oriented framework is …