Steering Control
State-of-the-art leaderboards
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Greatest papers with code
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks
• cardwing/Codes-for-Steering-Control
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In this paper, we considerably improve the accuracy and robustness of predictions through heterogeneous auxiliary networks feature mimicking, a new and effective training method that provides us with much richer contextual signals apart from steering direction.
SOTA for Steering Control on Udacity
MULTI-TASK LEARNING OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION STEERING CONTROL
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems
• SinaMohseni/Saliency-Based-Failure-prediction-for-Autonomous-Vehicle
While machine learning systems show high success rate in many complex tasks, research shows they can also fail in very unexpected situations.