Our three papers "Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture", "LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs", and "MAPLM: A Real-World Large-Scale Vision-Language Dataset for Map and Traffic Scene Understanding" were accepted to the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Our three papers "Driver Digital Twin for Online Recognition of Distracted Driving Behaviors", "REDFormer: Radar Enlightens the Darkness of Camera Perception with Transformers", and "Federated learning for connected and automated vehicles: A survey of existing approaches and challenges" were published on IEEE Transactions on Intelligent Vehicles (IF=8.2).
We attended the Transportation Research Board (TRB) 103rd Annual Meeting in Washington D.C. and presented three posters highlighting our work.
Jan. 8, 2024
We presented three papers and organized the 1st Workshop on Large Language and Vision Models for Autonomous Driving (LLVM-AD) at 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) in Waikoloa, Hawaii.
Jan. 1, 2024
Our paper "Eco-approach at an isolated actuated signalized intersection: Aware of the passing time window" was published in the Journal of Cleaner Production (IF = 11.1).
