International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Radar Powered Perception: Multiple Approaches for Vehicle Classification

Author(s) Deepak Kumar Misra, Brijesh Jha, Shyam Raman
Country India
Abstract The proliferation of Advanced Driver-Assistance Systems (ADAS) and autonomous vehicles demands robust and reliable techniques for vehicle detection and classification. This paper investigates the potential of automotive radar systems for this critical task, focusing on classifying vehicles into three distinct categories (bus/truck, car/sedan/SUV, bike/bicycle). We explore multiple approaches that leverages rich set of features extracted from radar measurements. These features include target size, point density, and other signature characteristics derived from the radar return signal. By analyzing these features, we explain multiple approach aims to achieve vehicle classification. The effectiveness of the proposed method is evaluated using real-world data, with a particular focus on demonstrating its suitability for real-time applications in ADAS. The paper delves into the critical trade-offs that exist between classification accuracy, computational complexity, and inherent limitations of automotive radar sensors. We discuss the impact of sparse data, such as low point cloud data on classification accuracy. Additionally, we discuss on potential mitigation strategies to ensure reliability in challenging scenarios. Finally, the paper concludes by outlining potential future directions for enhancing vehicle classification using automotive radar systems. These advancements will pave the way for the development of more robust and reliable ADAS and autonomous vehicles, ultimately contributing to improved safety on our roads.
Keywords Automotive Radar, Vehicle Detection, Vehicle Classification, ADAS, Autonomous Vehicles, Point Cloud Data, Machine Learning
Field Engineering
Published In Volume 6, Issue 4, July-August 2024
Published On 2024-08-24
Cite This Radar Powered Perception: Multiple Approaches for Vehicle Classification - Deepak Kumar Misra, Brijesh Jha, Shyam Raman - IJFMR Volume 6, Issue 4, July-August 2024. DOI 10.36948/ijfmr.2024.v06i04.26482
DOI https://doi.org/10.36948/ijfmr.2024.v06i04.26482
Short DOI https://doi.org/gt8g4w

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