Steering Control
3 papers with code • 3 benchmarks • 3 datasets
BDD100K
comma.ai
Udacity
Most implemented papers
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.
End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception
rehamessameltagoury/Urban-Self-Driving-Car
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In this work, we propose a multi-task learning framework to predict the steering angle and speed control simultaneously in an end-to-end manner.
Predicting Model Failure using Saliency Maps in Autonomous Driving Systems
SinaMohseni/Saliency-Based-Failure-prediction-for-Autonomous-Vehicle
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While machine learning systems show high success rate in many complex tasks, research shows they can also fail in very unexpected situations.
