Technology

motion planning

1 synchronized story carry this tag.

Qwen opens Qwen-Drive-1.0 weights and code for driving research

Qwen released Qwen-Drive-1.0, a four-billion-parameter vision-language foundation model that combines driving visual question answering, 3D perception and motion planning. Apache-2.0 weights, code, demo data, documentation and a technical report are public.

Why it matters: The release gives autonomous-driving researchers an inspectable model and training/evaluation artifacts across perception, language and planning. Open weights improve reproducibility but do not establish road safety, closed-loop robustness or production…

Read storyOriginal source · github.com