GRIT: Fast, interpretable, and verifiable goal recognition with learned decision trees for autonomous driving

C Brewitt, B Gyevnar, S Garcin… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
It is important for autonomous vehicles to have the ability to infer the goals of other vehicles
(goal recognition), in order to safely interact with other vehicles and predict their future …

Verifiable goal recognition for autonomous driving with occlusions

C Brewitt, M Tamborski, C Wang… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Goal recognition (GR) involves inferring the goals of other vehicles, such as a certain
junction exit, which can enable more accurate prediction of their future behaviour. In …

Openplanner 2.0: The portable open source planner for autonomous driving applications

H Darweesh, E Takeuchi… - 2021 IEEE Intelligent …, 2021 - ieeexplore.ieee.org
There are few open source autonomous driving planners that are general enough to be
used directly, or which could be easily customized to suit a particular application …

基于轨迹加权预测的主动避撞安全距离模型及算法.

张三川, 马啸 - Journal of Zhengzhou University: Engineering …, 2022 - search.ebscohost.com
为有效解决现有主动避撞系统相邻前车变道切入工况下的车-车避撞问题, 提高智能汽车的主动
安全性, 通过随预测时间变化的权重系数函数将CTRA 恒角速度恒加速度运动模型和五次多项式 …

Probabilistic model for high-level intention estimation and trajectory prediction in urban environments

Y Bok, N Suganuma, K Yoneda - Artificial Life and Robotics, 2024 - Springer
To enable successful automated driving, precise behavior prediction of surrounding vehicles
is indispensable in urban traffic scenarios. Furthermore, given that a vehicle's behavior is …

[PDF][PDF] Interpretable and verifiable planning and prediction for autonomous vehicles

C Brewitt - 2023 - core.ac.uk
Autonomous driving (AD) has gained much attention in recent years due to its many
potential benefits such as improving safety and increasing efficiency. However, AD is a …