Paper Title
Experimental Evaluation of Vehicle Mounted mmWave Sensor for On-Road Scenario
Article Identifiers
Authors
Dr. G. Harinatha Reddy , Budamagunta Jathin , Kadiveti Hari Kishan , Gaddam Muni Kumar , Inturu Sasidhar
Keywords
Automotive radar, Object detection, Speed estimation, Surroundings monitoring, Fully autonomous vehicles, Radar signal processing, Road environment classification, Target detection algorithm, Machine learning techniques.
Abstract
Automotive radar can identify the positions and speeds of objects in the car's surroundings. It is becoming increasingly crucial in guaranteeing the safety of automotive driving and is recognized as one of the enabling sensor technologies for fully autonomous vehicle navigation. Diverse road surroundings are observed by car radar systems on the road. Clutter is generated by each road environment, and the magnitude distribution of the received radar signal varies based on road architecture. As a result, the road environment must be classified and a target detection algorithm tailored to each road environment characteristic must be implemented. In the proposed work, to evaluate the performance of mm-Wave radar operating at 77-81GHz in FMCW radar sensor in autonomous environment. The machine learning techniques will be used for classifying radar images based on range doppler/range angle map in order to detect targets with ground truth information from the camera sensor
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How To Cite (APA)
Dr. G. Harinatha Reddy, Budamagunta Jathin, Kadiveti Hari Kishan, Gaddam Muni Kumar, & Inturu Sasidhar (May-2024). Experimental Evaluation of Vehicle Mounted mmWave Sensor for On-Road Scenario. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), c620-c625. https://ijnrd.org/papers/IJNRD2405261.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : c620-c625
Other Publication Details
Paper Reg. ID: IJNRD_221109
Published Paper Id: IJNRD2405261
Downloads: 000121980
Research Area: Engineering
Country: Tirpuati District, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405261.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405261
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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