Machine Learning for Autonomous Vehicle Collision Prediction and Avoidance
Keywords:
LiDARAbstract
Teslas are equipped with cameras, radar, and, until last year, LiDAR, and also use software built by Tesla to navigate vehicles. The Autopilot system, advancements in their neural networks, and increased GPU performance have led to iterative updates to their driver's assistance software with a longer-term goal of full self-driving capability. Though these companies, primarily Tesla and Waymo, currently have the advantage over companies like GM, Ford, Toyota, and so on, in terms of technology, safety standards, and the quality of vehicles available, a new entrant into this industry without a well-developed technology in autonomous vehicles and machine learning could also potentially take the market lead. In this paper, we explore how machine learning models can improve collision prediction models for autonomous vehicles.
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References
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