Vision-Sensor Enabled Multilayer CNN Scheme and Impact Analysis of Learning Rate Parameter for Speed Bump Detection in Autonomous Vehicle System
Author:
Affiliation:
1. Department of Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management, Gwalior, India
2. Department of Information Technology, National Institute of Technology, Raipur, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7782634/10423169/10416555.pdf?arnumber=10416555
Reference14 articles.
1. Towards the design of vision-based intelligent vehicle system: methodologies and challenges
2. Becoming Smarter at Characterizing Potholes and Speed Bumps from Smartphone Data — Introducing a Second-Generation Inference Problem
3. Characterisation of road bumps using smartphones
4. Mobile Application for Bumps Detection and Warning Utilizing Smartphone Sensors
5. Road Bump Detection Using LiDAR sensor for Semi-Active Control of Front Axle Suspension in an Agricultural Tractor
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1. Improvement of Dynamic Characteristics of Purpose-Built Vehicles Using Semi-Active Suspension System;Sensors;2024-07-02
2. Driver Assistance System for Detection of Marked Speed Breakers;2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT);2024-05-02
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