Full-Stack AI for Autonomy

Autonomous driving with perception, planning, simulation and devops driven by generative AI, neural rendering and vision transformers.

Research Home

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Simulation: Neural rendering, controllable diffusion models and reinforcement learning for photorealistic, safety-critical and diverse simulations.

Path prediction and planning: Leading solutions for diverse future trajectory prediction and LLM-assisted motion planning in complex road scenes.

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2D perception: Open vocabulary object detection, instance segmentation and tracking to handle even rare, unseen categories.

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3D perception: State-of-the-art in single-camera 3D pose using neural rendering and instantaneous motion from Lidar inputs.

Devops: Vision-language models and LLMs for automated training and verification, with continual learning and adaptation for rapid generalization.

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Efficiency: Deployment of compact but accurate models, with multi-task inference and high performance with vision transformers.