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Greatest papers with code

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

7 Nov 2018cardwing/Codes-for-Steering-Control

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.

MULTI-TASK LEARNING OPTICAL FLOW ESTIMATION SEMANTIC SEGMENTATION STEERING CONTROL

Predicting Model Failure using Saliency Maps in Autonomous Driving Systems

19 May 2019SinaMohseni/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.

AUTONOMOUS DRIVING STEERING CONTROL

End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception

20 Jan 2018rehamessameltagoury/Urban-Self-Driving-Car

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.

AUTONOMOUS DRIVING MULTI-TASK LEARNING SELF-DRIVING CARS STEERING CONTROL