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cs.RO2024
Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles
Wenru Liu, Yongkang Song, Chengzhen Meng +4
We address the decision-making capability within an end-to-end planning framework that focuses on motion prediction, decision-making, and trajectory planning. Specifically, we form…
cs.RO2024
Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization
Xiao Zhou, Chengzhen Meng, Wenru Liu +3
For autonomous driving in highly dynamic environments, it is anticipated to predict the future behaviors of surrounding vehicles (SVs) and make safe and effective decisions. Howeve…
cs.RO2024
RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving Environment
Ren Xin, Sheng Wang, Yingbing Chen +3
Motion planning is a complicated task that requires the combination of perception, map information integration and prediction, particularly when driving in heavy traffic. Developin…