Deep Learning-based Object Detection for Enhanced Perception in Autonomous Vehicle Environments
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How to Cite

[1]
Dr. Nkemjika Ezekwembe, “Deep Learning-based Object Detection for Enhanced Perception in Autonomous Vehicle Environments”, Journal of Bioinformatics and Artificial Intelligence, vol. 3, no. 2, pp. 73–90, Jun. 2024, Accessed: Oct. 05, 2024. [Online]. Available: https://biotechjournal.org/index.php/jbai/article/view/64

Abstract

The spatial hierarchies of the convolved feature maps can not only provide joint invariance but also extract deep features to discriminate an object from other visually similar objects. They can also enhance the spatial relationships to ensure that the features are aligned, and the spatial hierarchy is well-preserved. These specialized functions allow the CNN models to extract task-specific features and provide improved performance compared to the conventional methods.

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