activity
20202023
most citedTrajectory Planning for Connected and Automated Vehicles: Cruising, Lane Changing, and Platooning

8 citations · 19 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.RO2023

Safety-Assured Speculative Planning with Adaptive Prediction

Xiangguo Liu, Ruochen Jiao, Yixuan Wang +3

Recently significant progress has been made in vehicle prediction and planning algorithms for autonomous driving. However, it remains quite challenging for an autonomous vehicle to…

cs.RO2023★ 2 cited

Interactive Trajectory Planner for Mandatory Lane Changing in Dense Non-Cooperative Traffic

Xiangguo Liu, Jianxing Chen, Shan Li +7

When the traffic stream is extremely congested and surrounding vehicles are not cooperative, the mandatory lane changing can be significantly difficult. In this work, we propose an…

cs.RO2023★ 2 cited

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic

Xiangguo Liu, Ruochen Jiao, Bowen Zheng +2

Connectivity technology has shown great potentials in improving the safety and efficiency of transportation systems by providing information beyond the perception and prediction ca…

cs.RO2022

TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor

Ruochen Jiao, Xiangguo Liu, Bowen Zheng +2

Trajectory generation and prediction are two interwoven tasks that play important roles in planner evaluation and decision making for intelligent vehicles. Most existing methods fo…

cs.RO2022

Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner

Xiangguo Liu, Chao Huang, Yixuan Wang +2

Neural networks have shown great promises in planning, control, and general decision making for learning-enabled cyber-physical systems (LE-CPSs), especially in improving performan…

cs.RO2022

Safety-driven Interactive Planning for Neural Network-based Lane Changing

Xiangguo Liu, Ruochen Jiao, Bowen Zheng +2

Neural network-based driving planners have shown great promises in improving task performance of autonomous driving. However, it is critical and yet very challenging to ensure the…