8 citations · 19 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
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…