Detection, Estimation & Tracking Road Objects for Assisting Driving

Afnan Alshkeili, Wenliang Qiu, Bidisha Ghosh

Abstract

The new era of mobility is moving towards automation. Detecting, estimating, and tracking objects from moving vehicles using dash-cam images in real-time can provide substantial advantages in supporting drivers’ decision making in advance. In this paper, an advanced deep learning-based object detection, distance estimation, and tracking framework has been proposed for this purpose. RetinaNet algorithm with ResNeXt backbone network has been used to detect five traffic object classes, including cars, cyclists, pedestrians, buses, and motorcycles, with improved accuracy. Additionally, distance estimation algorithm was introduced to increase both reliability and precession of detection. Moreover, an improved Simple Online and Real-time Tracking (SORT) algorithm were sequentially used to estimate traffic parameters such as volume and approach speed of each of these traffic object classes. The algorithm was trained and tested on stock imagery (COCO2017 and MOT16, respectively) of real-world videos taken from urban arterials with multimodal, signalized traffic operations.

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Paper Citation


in Harvard Style

Alshkeili A., Qiu W. and Ghosh B. (2021). Detection, Estimation & Tracking Road Objects for Assisting Driving. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 678-685. DOI: 10.5220/0010496806780685


in Bibtex Style

@conference{vehits21,
author={Afnan Alshkeili and Wenliang Qiu and Bidisha Ghosh},
title={Detection, Estimation & Tracking Road Objects for Assisting Driving},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={678-685},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010496806780685},
isbn={978-989-758-513-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Detection, Estimation & Tracking Road Objects for Assisting Driving
SN - 978-989-758-513-5
AU - Alshkeili A.
AU - Qiu W.
AU - Ghosh B.
PY - 2021
SP - 678
EP - 685
DO - 10.5220/0010496806780685