24 citations · 59 across the 9 of their papers we have counts for
11 papers
WCog-VLA: A Dual-Level World-Cognitive Vision-Language-Action Model for End-to-End Autonomous Driving
Xuerun Yan, Zhexi Lian, Nuoheng Zhang +5
Vision-Language-Action (VLA) models have advanced end-to-end autonomous driving. However, existing methods either lack comprehensive world cognition or suffer from fragmented world…
Fine-tuning is Not Enough: A Parallel Framework for Collaborative Imitation and Reinforcement Learning in End-to-end Autonomous Driving
Zhexi Lian, Haoran Wang, Xuerun Yan +4
End-to-end autonomous driving is typically built upon imitation learning (IL), yet its performance is constrained by the quality of human demonstrations. To overcome this limitatio…
A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach
Jia Hu, Yang Chang, Haoran Wang
Motion planning for autonomous driving (AD) faces a critical trade-off. While traditional rule-based pipelines offer verifiable safety and interpretability, they often fail to gene…
MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
Jia Hu, Zhexi Lian, Xuerun Yan +5
Autonomous Driving (AD) vehicles still struggle to exhibit human-like behavior in highly dynamic and interactive traffic scenarios. The key challenge lies in AD's limited ability t…
Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance Enhancement
Jia Hu, Xuerun Yan, Tian Xu +1
Reinforcement Learning (RL) offers a promising solution to enable evolutionary automated driving. However, the conventional RL method is always concerned with risk performance. The…
Anti-bullying Adaptive Cruise Control: A proactive right-of-way protection approach
Jia Hu, Zhexi Lian, Haoran Wang +6
Adaptive Cruise Control (ACC) systems have been widely commercialized in recent years. However, existing ACC systems remain vulnerable to close-range cut-ins, a behavior that resem…
Vehicles Swarm Intelligence: Cooperation in both Longitudinal and Lateral Dimensions
Jia Hu, Nuoheng Zhang, Haoran Wang +3
Longitudinal-only platooning methods are facing great challenges on running mobility, since they may be impeded by slow-moving vehicles from time to time. To address this issue, th…
Safety-Aware Human-Lead Vehicle Platooning by Proactively Reacting to Uncertain Human Behaving
Jia Hu, Shuhan Wang, Yiming Zhang +3
Human-Lead Cooperative Adaptive Cruise Control (HL-CACC) is regarded as a promising vehicle platooning technology in real-world implementation. By utilizing a Human-driven Vehicle…
Space Domain based Ecological Cooperative and Adaptive Cruise Control on Rolling Terrain
Mingyue Lei, Haoran Wang, Lu Xiong +4
Cooperative and Adaptive Cruise Control (CACC) is widely focused to enhance driving fuel-efficiency by maintaining a close following gap. The ecology of CACC could be further enhan…
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
Jia Hu, Mingyue Lei, Haoran Wang +2
Personalization is crucial for the widespread adoption of advanced driver assistance system. To match up with each user's preference, the online evolution capability is a must. How…
Mirroring the Parking Target: An Optimal-Control-Based Parking Motion Planner with Strengthened Parking Reliability and Faster Parking Completion
Jia Hu, Yongwei Feng, Shuoyuan Li +3
Automated Parking Assist (APA) systems are now facing great challenges of low adoption in applications, due to users' concerns about parking capability, reliability, and completion…