Collaborative Perception and Planning Models for Smart Infrastructure and CAVs
Status: In Progress
Lead Researcher
Gregory Stevens
President, Causality LLC; Research Director, Mcity
Project Team
Kate Skinner
Ram Vasudevan
Project Abstract
Demonstrate the unique incremental benefits of integrating infrastructure perception into vehicle decision-making in Depot Autonomy. Within the constrained ODD of a depot, allow an L2 ADAS vehicle to operate as an L4 AV by adding infrastructure perception and routing.
Project Outcome
- Create collaboration models for Level2 ADAS vehicles with smart infrastructure to allow Level4 autonomy within a delivery van loading depot (eg- Fedex, DHL, UPS, …)
- Demonstrate a working, virtual prototype of Depot Autonomy.
- Leverage implicit neural representations for multi-sensor fusion of high fidelity infrastructure-mounted LiDAR and low cost vehicle-mounted cameras to enable collaborative perception for commercial environments with dynamic objects.
- Implement computationally-efficient, real-time motion planning with provable safety.
BUDGET YEAR: 2024-01-01
RESEARCH CATEGORY:
BUSINESS MODEL DEPLOYMENT
| CONNECTED & AUTOMATED TECHNOLOGY
| SIMULATION & TESTING