Zengqi Peng

According to our database, Zengqi Peng authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model.

Ruoyu Yao, Yubin Wang, Haichao Liu, Rui Yang, Zengqi Peng, Lei Zhu, Jun Ma

CoRR, 2024

Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization.

Xiao Zhou, Chengzhen Meng, Wenru Liu, Zengqi Peng, Ming Liu, Jun Ma

CoRR, 2024

Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections.

Zengqi Peng, Xiao Zhou, Lei Zheng, Yubin Wang, Jun Ma

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning.

Yubin Wang, Yulin Li, Zengqi Peng, Hakim Ghazzai, Jun Ma

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving.

Lei Zheng, Rui Yang, Zengqi Peng, Wei Yan, Michael Yu Wang, Jun Ma

Proceedings of the European Control Conference, 2024

2023

Learning the References of Online Model Predictive Control for Urban Self-Driving.

Yubin Wang, Zengqi Peng, Hakim Ghazzai, Jun Ma

CoRR, 2023

Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Safe and Efficient Autonomous Driving in Dense Traffic.

Lei Zheng, Rui Yang, Zengqi Peng, Michael Yu Wang, Jun Ma

CoRR, 2023

Real-Time Parallel Trajectory Optimization with Spatiotemporal Safety Constraints for Autonomous Driving in Congested Traffic.

Lei Zheng, Rui Yang, Zengqi Peng, Haichao Liu, Michael Yu Wang, Jun Ma

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections.

Zengqi Peng, Xiao Zhou, Yubin Wang, Lei Zheng, Ming Liu, Jun Ma

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023