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India | Neural Networks | Volume 13 Issue 10, October 2024 | Pages: 546 - 547
Object Detection in Autonomous Vehicles - A Case Study
Abstract: This paper gives an overview of the object detection in autonomous vehicles and analyzes how robustness and uncertainty quantification can be integrated to enhance the model performance and reliability. Furthermore, it also discusses the ethical implications of deploying non-robust models in safety critical imaging applications.
Keywords: Object Detection, Autonomous vehicles, Robust model, Uncertainty quantification
How to Cite?: Karthick Kumaran Ayyalluseshagiri Viswanathan, "Object Detection in Autonomous Vehicles - A Case Study", Volume 13 Issue 10, October 2024, International Journal of Science and Research (IJSR), Pages: 546-547, https://www.ijsr.net/getabstract.php?paperid=SR241005235242, DOI: https://dx.doi.org/10.21275/SR241005235242
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