
The author argues that the Embodied Language Model (ELM) enhances agents' understanding of driving scenes in space and time, surpassing previous state-of-the-art approaches by incorporating space-aware pre-training and time-aware token selection.


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embodied-understanding-of-driving-scenarios-a-comprehensive-study


Embodied Understanding of Driving Scenarios: A Comprehensive Study


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ELM introduces a comprehensive framework for agents to understand driving scenes with large spatial and temporal spans, surpassing previous approaches in various applications.


driving-scenarios-embodied-understanding-unveiled


Driving Scenarios: Embodied Understanding Unveiled
