GitHub / aydnzn / Enhancing-LiDAR-based-3D-Object-Detection
This repository contains a Master's Thesis on enhancing LiDAR-based 3D Object Detection in autonomous vehicles using synthetic data. The research explores the use of the Ansys AVxcelerate Sensors Simulator (AVX) to create synthetic point clouds. It includes a hybrid training approach, experimental design, results, and related scripts.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aydnzn%2FEnhancing-LiDAR-based-3D-Object-Detection
PURL: pkg:github/aydnzn/Enhancing-LiDAR-based-3D-Object-Detection
Stars: 5
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 15.3 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 4 months ago
Pushed at: almost 2 years ago
Last synced at: 4 months ago
Topics: 3d-object-detection, autonomous-driving, carmaker, deep-learning, kitti-dataset, lidar-point-cloud, pointpillars, synthetic-data