Road friction estimation based on vision for safe autonomous driving-Reference-Cited by-同舟云学术

Road friction estimation based on vision for safe autonomous driving

Published:2024-02 Issue: Volume:208 Page:111019
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhao Tong^ORCID,Guo Peilin,Wei Yintao^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference32 articles.

1. RCNet: road classification convolutional neural networks for intelligent vehicle system;Dewangan;Intell. Serv. Robot.,2021

2. Current non-contact road surface condition detection schemes and technical challenges;Ma;Sensors.,2022

3. Literature review and fundamental approaches for vehicle and tire state estimation;Singh;Veh. Syst. Dyn.,2019

4. A survey of intelligent tires for tire-road interaction recognition toward autonomous vehicles;Yang;IEEE Trans. Intell. Veh.,2022

5. Adaptive lane change trajectory planning scheme for autonomous vehicles under various road frictions and vehicle speeds;Hu;IEEE Trans. Intell. Veh.,2023

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1. Mass estimation of tractor-semitrailer systems: An approach of dynamics and data fusion-driven in real environments;Measurement;2024-10

2. Prediction of Friction Coefficient Based on 3D Texture Characteristics of Road Surfaces;Applied Sciences;2024-08-26

3. A road surface reconstruction dataset for autonomous driving;Scientific Data;2024-05-06

4. RoadBEV: Road Surface Reconstruction in Bird’s Eye View;IEEE Transactions on Intelligent Transportation Systems;2024

5. Speed Control with Curve Braking Simulation of Autonomous Vehicles Based on Vehicle-Tire-Ice Coupling Mechanism;2024