LMDrive Model Card
Model details
Model type:
LMDrive is an end-to-end, closed-loop, language-based autonomous driving framework, which interacts with the dynamic environment via multi-modal multi-view sensor data and natural language instructions.
Model date:
LMDrive-1.0 (based on LLaVA-v1.5-7B) was trained in November 2023. The original LLaVA-v1.5 also needs to be downloaded.
Paper or resources for more information:
Related weights for the vision encoder
Where to send questions or comments about the model:
Intended use
Primary intended uses:
The primary use of LMDrive is research on large multimodal models for autonomous driving.
Primary intended users:
The primary intended users of the model are researchers and hobbyists in computer vision, large multimodal model, autonomous driving, and artificial intelligence.
Training dataset
- 64K instruction-sensor-control data clips collected in the CARLA simulator. dataset_webpage
- where each clip includes one navigation instruction, several notice instructions, a sequence of multi-modal multi-view sensor data, and control signals. The duration of the clip spans from 2 to 20 seconds
Evaluation benchmark
LangAuto, LangAuto-short, LangAuto-tiny, LangAuto-notice
