Steering Control

6 papers with code • 3 benchmarks • 2 datasets

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Most implemented papers

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

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

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 20 Jan 2018

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 19 May 2019

While machine learning systems show high success rate in many complex tasks, research shows they can also fail in very unexpected situations.

Optimized adaptive MPC for lateral control of autonomous vehicles

yassinekebbati/Optimized_adaptive_MPC International Conference on Control, Mechatronics and Automation (ICCMA) 2021

This paper proposes an adaptive MPC controller (AMPC) for the path-tracking task and an improved PSO algorithm for optimizing the AMPC parameters.

Pixel Level Segmentation Based Drivable Road Region Detection and Steering Angle Estimation Method for Autonomous Driving on Unstructured Roads

aatiibutt/Drivable-Road-Region-Detection-and-Steering-Angle-Estimation-Method IEEE Access 2021

Alongside dataset, we also present an end-to-end drivable road region detection and steering angle estimation method to ensure the autonomous driving on generalized urban, rural, and unstructured road conditions.

Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models

soanagno/wakenet 28 Mar 2023

We also demonstrate that when utilising the Curl model, WakeNet is able to provide similar power gains to FLORIS, two orders of magnitude faster (e. g. 10 minutes vs 36 hours per optimisation case).