Self-Driving Car Navigation With Single-Beam LiDAR and Neural Networks Using JavaScript

Self-Driving Car Navigation With Single-Beam LiDAR and Neural Networks Using JavaScript

This paper presents the development of a system for simulating and visualizing autonomous vehicle navigation using a single-beam LiDAR sensor integrated with an artificial neural network, implemented entirely in JavaScript. The single-beam LiDAR sensor in the simulation was configured to closely res...

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Bibliographic Details
Main Authors: Trung Thi Hoa Trang Nguyen, Thanh Toan Dao, Thanh Binh Ngo, Vu Anh Phi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Self-driving car
single-beam LiDAR
deep feedforward neural network
JavaScript
autonomous navigation
obstacle detection
Online Access:https://ieeexplore.ieee.org/document/10778532/
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https://ieeexplore.ieee.org/document/10778532/

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