CogDriver-Agent with sparse temporal memory and spatiotemporal distillation on CogDriver-Data achieves 22% higher closed-loop Driving Score on Bench2Drive and 21% lower mean L2 error on nuScenes.
Gpt-4v as traffic assistant: an in-depth look at vision language model on complex traffic events
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TrafficRAG is a multimodal RAG framework that turns accident videos into structured text queries, retrieves legal rules and cases via BM25 plus dense retrieval, and generates liability reports, reporting 77.32% legal norm accuracy and 5.48% liability ratio MAE.
A review of Earth science foundation models covering capability evolution from perception to discovery, applications across atmosphere/hydrosphere/lithosphere/biosphere/anthroposphere/cryosphere, over 200 datasets, and key challenges.
citing papers explorer
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CogDriver: Integrating Cognitive Inertia for Temporally Coherent Planning in Autonomous Driving
CogDriver-Agent with sparse temporal memory and spatiotemporal distillation on CogDriver-Data achieves 22% higher closed-loop Driving Score on Bench2Drive and 21% lower mean L2 error on nuScenes.
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TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination
TrafficRAG is a multimodal RAG framework that turns accident videos into structured text queries, retrieves legal rules and cases via BM25 plus dense retrieval, and generates liability reports, reporting 77.32% legal norm accuracy and 5.48% liability ratio MAE.
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Earth Science Foundation Models: From Perception to Reasoning and Discovery
A review of Earth science foundation models covering capability evolution from perception to discovery, applications across atmosphere/hydrosphere/lithosphere/biosphere/anthroposphere/cryosphere, over 200 datasets, and key challenges.