AI, MACHINE LEARNING AND DEEP LEARNING FOR AUTONOMOUS VEHICLES
- AI to increase testing coverage of AVs: data validation using qualitative approaches.
- AVs and simulation: enabling deep learning with synthetic data.
- Data processing and AI: software architectures and hardware challenges.
- Managing testing requirements: effective validation and verification methods for autonomous driving systems.
- Exceeding machine learning limits: tools for deep learning with multi-sensor data.
PERCEPTION AND SENSOR TECHNOLOGIES FOR AUTONOMOUS VEHICLES
- Sensor fusion: tools and technologies to combine data from different sensor types.
- AI-powered perception and sensor fusion to help ensure safety.
- Automotive imaging via camera sensors: camera algorithms that enable object recognition and classification, localization, planning, and decision making.
- Next-generation radar: intelligent radars in AV sensor suits.
- Tools that enable precise and robust localization across different environments, weather conditions, and illuminations.
...and so much more!
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DISCOVER WHAT'S ON THE AGENDA AT OUR AUTOMOTIVE AI EVENTS
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