High Precision Single Shot Object Detection in Automotive Scenarios

Soumya A, C Krishna Mohan, Linga Reddy Cenkeramaddi

2024

Abstract

Object detection in low-light scenarios is a challenging task with numerous real-world applications, ranging from surveillance and autonomous vehicles to augmented reality. However, due to reduced visibility and limited information in the image data, carrying out object detection in low-lighting settings brings distinct challenges. This paper introduces a novel object detection model designed to excel in low-light imaging conditions, prioritizing inference speed and accuracy. The model leverages advanced deep-learning techniques and is optimized for efficient inference on resource-constrained devices. The inclusion of cross-stage partial (CSP) connections is key to its effectiveness, which maintains low computational complexity, resulting in minimal training time. This model adapts seamlessly to low-light conditions through specialized feature extraction modules, making it a valuable resource in challenging visual environments.

Paper Citation

in Harvard Style

A S., Krishna Mohan C. and Cenkeramaddi L. (2024). High Precision Single Shot Object Detection in Automotive Scenarios. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 604-611. DOI: 10.5220/0012383100003660

in Bibtex Style

@conference{visapp24,
author={Soumya A and C Krishna Mohan and Linga Reddy Cenkeramaddi},
title={High Precision Single Shot Object Detection in Automotive Scenarios},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2024},
pages={604-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012383100003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - High Precision Single Shot Object Detection in Automotive Scenarios
SN - 978-989-758-679-8
AU - A S.
AU - Krishna Mohan C.
AU - Cenkeramaddi L.
PY - 2024
SP - 604
EP - 611
DO - 10.5220/0012383100003660
PB - SciTePress