activity
20182026
most citedFederated Transfer-Ordered-Personalized Learning for Driver Monitoring Application

39 citations · 230 across the 69 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.AI2024★ 1 cited

On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation

Can Cui, Zichong Yang, Yupeng Zhou +11

Personalized driving refers to an autonomous vehicle's ability to adapt its driving behavior or control strategies to match individual users' preferences and driving styles while m…

cs.CV2024

MTA: Multimodal Task Alignment for BEV Perception and Captioning

Yunsheng Ma, Burhaneddin Yaman, Xin Ye +5

Bird's eye view (BEV)-based 3D perception plays a crucial role in autonomous driving applications. The rise of large language models has spurred interest in BEV-based captioning to…

cs.RO2024★ 1 cited

LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends

Can Cui, Yunsheng Ma, Sung-Yeon Park +14

With the broader adoption and highly successful development of Large Language Models (LLMs), there has been growing interest and demand for applying LLMs to autonomous driving tech…

cs.CV2024

Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving

Yunsheng Ma, Amr Abdelraouf, Rohit Gupta +2

Multimodal large language models (MLLMs) have demonstrated remarkable potential for enhancing scene understanding in autonomous driving systems through powerful logical reasoning c…

cs.RO2024★ 1 cited

Delay-Aware Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control with Model-based Stability Enhancement

Jiaqi Liu, Ziran Wang, Peng Hang +1

Cooperative Adaptive Cruise Control (CACC) represents a quintessential control strategy for orchestrating vehicular platoon movement within Connected and Automated Vehicle (CAV) sy…

cs.CV2024

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture

Juanwu Lu, Can Cui, Yunsheng Ma +2

Safety and robustness are crucial factors in developing trustworthy autonomous vehicles. One essential aspect of addressing these factors is to equip vehicles with the capability t…

cs.RO2024

A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture

Manuel Mar, Vishnu Chellapandi, Liangqi Yuan +2

In the landscape of technological innovation, autonomous racing is a dynamic and challenging domain that not only pushes the limits of technology, but also plays a crucial role in…