4 papers
PlanScope: Learning to Plan Within Decision Scope for Urban Autonomous Driving
Ren Xin, Jie Cheng, Hongji Liu +1
In the context of urban autonomous driving, imitation learning-based methods have shown remarkable effectiveness, with a typical practice to minimize the discrepancy between expert…
NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving
Ren Xin, Hongji Liu, Xiaodong Mei +4
Integrating General Models (GMs) such as Large Language Models (LLMs), with Specialized Models (SMs) in autonomous driving tasks presents a promising approach to mitigating challen…
Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments
Jianhao Jiao, Ruoyu Geng, Yuanhang Li +7
The creation of a metric-semantic map, which encodes human-prior knowledge, represents a high-level abstraction of environments. However, constructing such a map poses challenges r…
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…