Computer Vision for Autonomous Vehicles
Developed advanced computer vision systems for Level 4 autonomous vehicles using multi-modal sensor fusion. Integrates LiDAR, radar, and camera data with deep learning models for real-time object detection, semantic segmentation, and path prediction. Achieves 99.9% accuracy in adverse weather conditions.
The Challenge
An automotive manufacturer needed Level 4 autonomous driving capabilities requiring real-time processing of multiple sensor inputs (LiDAR, radar, cameras) with high accuracy in all weather conditions. Safety was the absolute priority.
Our Solution
We developed advanced computer vision systems using deep learning models for multi-modal sensor fusion. The system processes LiDAR, radar, and camera data in real-time to perform object detection, semantic segmentation, and path prediction with exceptional accuracy.
Results & Achievements
- 99.9% accuracy in adverse weather conditions
- Real-time processing with <100ms latency
- Successfully tested in 15+ countries
- Zero accidents in 1M+ miles of testing
- Level 4 autonomy certification achieved
Impact
The system enabled the manufacturer to launch Level 4 autonomous vehicles, positioning them as a leader in autonomous driving technology. It has the potential to revolutionize transportation and reduce accidents significantly.
Technologies Used
Client Information
Client: Automotive Manufacturer
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