Vision language models in autonomous driving: A survey and outlook
The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD)
have attracted widespread attention due to their outstanding performance and the ability to …
have attracted widespread attention due to their outstanding performance and the ability to …
VistaRAG: Toward Safe and Trustworthy Autonomous Driving Through Retrieval-Augmented Generation
Autonomous driving based on foundation models has recently garnered widespread
attention. However, the risk of hallucinations inherent in foundation models could …
attention. However, the risk of hallucinations inherent in foundation models could …
Large Language Models in Wargaming: Methodology Application and Robustness
Y Chen, S Chu - Proceedings of the IEEE/CVF Conference …, 2024 - openaccess.thecvf.com
Traditional artificial intelligence (AI) has contributed strategic enhancements to wargaming
but often encounters difficulties in dynamically complex environments and in adapting to …
but often encounters difficulties in dynamically complex environments and in adapting to …
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding
Vision-language generative AI has demonstrated remarkable promise for empowering cross-
modal scene understanding of autonomous driving and high-definition (HD) map systems …
modal scene understanding of autonomous driving and high-definition (HD) map systems …
Feedback-Guided Autonomous Driving
J Zhang, Z Huang, A Ray… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
While behavior cloning has recently emerged as a highly successful paradigm for
autonomous driving humans rarely learn to perform complex tasks such as driving via …
autonomous driving humans rarely learn to perform complex tasks such as driving via …
A survey on the memory mechanism of large language model based agents
Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …
research and industry communities. Compared with original LLMs, LLM-based agents are …
Summary and Reflections on Pedestrian Trajectory Prediction in the Field of Autonomous Driving
Z Fu, K Jiang, C Xie, Y Xu, J Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Pedestrian trajectory prediction is a classic and challenging scientific task that involves
complex engineering science and human factors. These challenges have spurred a …
complex engineering science and human factors. These challenges have spurred a …
DrPlanner: Diagnosis and Repair of Motion Planners Using Large Language Models
Motion planners are essential for the safe operation of automated vehicles across various
scenarios. However, no motion planning algorithm has achieved perfection in the literature …
scenarios. However, no motion planning algorithm has achieved perfection in the literature …
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models
Predicting the future trajectories of dynamic traffic actors is a cornerstone task in
autonomous driving. Though existing notable efforts have resulted in impressive …
autonomous driving. Though existing notable efforts have resulted in impressive …
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …