Auto.AI USA
June 30 - July 1
Tech Summit on AI, Machine Learning, Neural Networks & Cognitive Computing for Highly Autonomous Vehicles
Auto.AI USA – America’s No. 1 Event on Deep Driving for Level 3+ Automated Driving.
Auto.AI USA is the leading conference on artificial intelligence for SAE Level 3 to 5 autonomous vehicles. Meet top automotive industry experts and decision-makers in machine learning, AI, perception, computer vision, and data processing. Join now and discuss self-supervised and behavioral learning concepts, scalable machine and reinforcement learning approaches, benchmarking perception, and computer vision systems for autonomous driving with your peers from the automotive AI community.
Discover the next era of AI for autonomous vehicles now!
KEY TOPICS
- Perception-Driven ML: How to develop benchmarks for camera- and LIDAR-related perception?
- Embedded Cybersecurity for Edge AI and Autonomous Vehicles: How can embedded edge AI in autonomous vehicles be secured against real-time, evolving cyberattacks within resource constraints?
- Next-Generation Radar: How to include intelligent radars into AV sensor suits?
- Camera Technology & Computer Vision Algorithms: How to turn cameras into primary sensors for object recognition and classification, localization, decision-making, trajectory planning, and vehicle control?
- Open/Modular Verification & Validation: How to manage rapidly changing test requirements?
- Sensor Fusion: How to properly weigh sensors at run-time?
- Perception Stress Testing: How to automatically identify where perception is brittle using unlabelled data?
- Vision Geometry & Deep Neural Networks: How to verify deep learning detection with vision geometric principles?
- Reinforcement Learning for Vehicular Path Planning: How to make use of deep learning for AVs?
- Full Stack Software Suites for AI: How to develop hardware-agnostic and scalable solutions?
- Self-Supervised Learning for AVs: How to collect and label data at scale
- Data Processing & AI: How to develop software architectures and overcome hardware challenges?
- Interpretable Learning for AVs: How to use visual explanations that causally influence CNN output?
- Sensor Selection, Design & Innovation: Which are the latest technologies?
- Weather & Vision Environments: How to ensure safety in unfamiliar and challenging weather environments?
- The Software-Defined Car: What is the role of SDV in ADAS?
Relaxation-Aware Programming in ReRAM: Evaluating and Optimizing Write Termination