MXT-YOLOv7t: An Efficient Real-Time Object Detection for Autonomous Driving in Mixed Traffic Environments

MXT-YOLOv7t: An Efficient Real-Time Object Detection for Autonomous Driving in Mixed Traffic Environments

The perception system is vital for the autonomous navigation of self-driving cars in complex traffic environments. A critical part of this system is object detection, which enables the vehicle to perceive and interpret its surroundings. Object detection in mixed traffic environments becomes particul...

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Bibliographic Details
Main Authors: Afdhal Afdhal, Khairun Saddami, Mirshal Arief, Sugiarto Sugiarto, Zahrul Fuadi, Nasaruddin Nasaruddin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Self-driving cars
perception system
object detection
mixed traffic
Online Access:https://ieeexplore.ieee.org/document/10769096/
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https://ieeexplore.ieee.org/document/10769096/

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