Drivevlm: The convergence of autonomous driving and large vision-language models
A primary hurdle of autonomous driving in urban environments is understanding complex
and long-tail scenarios, such as challenging road conditions and delicate human behaviors …
and long-tail scenarios, such as challenging road conditions and delicate human behaviors …
Empowering autonomous driving with large language models: A safety perspective
Autonomous Driving (AD) faces crucial hurdles for commercial launch, notably in the form of
diminished public trust and safety concerns from long-tail unforeseen driving scenarios. This …
diminished public trust and safety concerns from long-tail unforeseen driving scenarios. This …
Forging vision foundation models for autonomous driving: Challenges, methodologies, and opportunities
The rise of large foundation models, trained on extensive datasets, is revolutionizing the
field of AI. Models such as SAM, DALL-E2, and GPT-4 showcase their adaptability by …
field of AI. Models such as SAM, DALL-E2, and GPT-4 showcase their adaptability by …
Rag-driver: Generalisable driving explanations with retrieval-augmented in-context learning in multi-modal large language model
Robots powered by'blackbox'models need to provide human-understandable explanations
which we can trust. Hence, explainability plays a critical role in trustworthy autonomous …
which we can trust. Hence, explainability plays a critical role in trustworthy autonomous …
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models
To ensure safe driving in dynamic environments, autonomous vehicles should possess the
capability to accurately predict the lane change intentions of surrounding vehicles in …
capability to accurately predict the lane change intentions of surrounding vehicles in …
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 …
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 …
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
Foundation models have indeed made a profound impact on various fields, emerging as
pivotal components that significantly shape the capabilities of intelligent systems. In the …
pivotal components that significantly shape the capabilities of intelligent systems. In the …
Exploring the Potential of Large Language Models in Self-adaptive Systems
Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning,
can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the …
can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the …
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
Despite real-time planners exhibiting remarkable performance in autonomous driving, the
growing exploration of Large Language Models (LLMs) has opened avenues for enhancing …
growing exploration of Large Language Models (LLMs) has opened avenues for enhancing …