Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada

Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada

The rapid development of self-driving vehicles requires integrating a sophisticated sensing system to address the various obstacles posed by road traffic efficiently. While several datasets are available to support object detection in autonomous vehicles, it is crucial to carefully evaluate the suit...

Full description

Bibliographic Details
Main Authors: Teena Sharma, Abdellah Chehri, Issouf Fofana, Shubham Jadhav, Siddhartha Khare, Benoit Debaque, Nicolas Duclos-Hindie, Deeksha Arya
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Autonomous vehicles
convolutional neural networks
intelligent transportation
object detector
surveillance
YOLOv8
Online Access:https://ieeexplore.ieee.org/document/10399478/

Internet

https://ieeexplore.ieee.org/document/10399478/

Similar Items