SPAS: Smart Pothole-Avoidance Strategy for Autonomous Vehicles-Reference-Cited by-同舟云学术

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SPAS: Smart Pothole-Avoidance Strategy for Autonomous Vehicles

Published:2022-10 Issue:10 Volume:23 Page:19827-19836
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Raja Gunasekaran¹^ORCID,Anbalagan Sudha²^ORCID,Senthilkumar Senbagapriya¹^ORCID,Dev Kapal³,Qureshi Nawab Muhammad Faseeh⁴^ORCID

Affiliation:

1. Department of Computer Technology, NGN Laboratory, Anna University, Chennai, India

2. School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India

3. Department of Institute of Intelligent Systems, University of Johannesburg, Johannesburg, South Africa

4. Department of Computer Education, Sungkyunkwan University, Seoul, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09756838.pdf?arnumber=9756838

Reference41 articles.

1. A New Technique for Hand Gesture Recognition

2. Pothole Detection and Avoidance via Deep Learning on Edge Devices

3. Analysis and Improvements on Current Pothole Detection Techniques

4. Autonomous Pedestrian Collision Avoidance Using a Fuzzy Steering Controller

5. Application of fuzzy control algorithms for electric vehicle antilock braking/traction control systems

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1. A deep learning model to assist visually impaired in pothole detection using computer vision;Decision Analytics Journal;2024-09

2. Multi-User Computation Offloading and Resource Allocation Algorithm in a Vehicular Edge Network;Sensors;2024-03-29

3. Enhancing VANET Security: Efficient Communication and Wormhole Attack Detection using VDTN Protocol and TD3 Algorithm;KSII Transactions on Internet and Information Systems;2024-01-31

4. IoT-Based Pothole Detection and Analysis for Road Quality Assessment and Human Safety Using Machine Learning Approach;Intelligent Systems for Smart Cities;2024

5. Intelligent Vehicle Decision-Making and Trajectory Planning Method Based on Deep Reinforcement Learning in the Frenet Space;Sensors;2023-12-14

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