Object Detection in Dense and Mixed Traffic for Autonomous Vehicles With Modified Yolo

Object Detection in Dense and Mixed Traffic for Autonomous Vehicles With Modified Yolo

Autonomous vehicles rely on the accurate detection and recognition of objects in their surroundings, a critical requirement for safe operation, especially in congested traffic with diverse vehicle types. This study presents a novel dataset collected in various road conditions in Indonesia, and it fo...

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Bibliographic Details
Main Authors: Ari Wibowo, Bambang Riyanto Trilaksono, Egi Muhammad Idris Hidayat, Rinaldi Munir
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Object detection
deformable convolution
autonomous vehicle
deep learning
Online Access:https://ieeexplore.ieee.org/document/10325498/

Internet

https://ieeexplore.ieee.org/document/10325498/

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