• M.Venkata Sai
• Dr.G.Harinatha Reddy
• M.Bindhu Madhavi
• N.Saajidh Saheb
• KC.Mukhaddas,M.Nagurvali

Automotive radars provide numerous benefits to the vehicle. These radars are typically installed in areas such as the vehicle's front, rear, and sides. Furthermore, mm-wave radars are available in a variety of configurations, including long-range radar, ultra-wide band radar, multibeam radar, and laser beam. The short-range applications usually dealt with the mm-wave radar. Parking assistant is one of the major applications that can be developed using mm-wave sensors. In the proposed work, to evaluate the performance of mm-Wave radar, sensors in the parking scenario, when the vehicle is moving slowly, to park. The ground truth information is available from the phone camera. The nearby parked cars and other obstacles need to be considered to determine the parking slot for the own vehicle from the radar, returns. The machine learning techniques will be used or classifying radar images to detect vacant parking spaces with a 77-GHz radar. An image of a parking scenario is rendered using an FMCW radar, and the image patches corresponding to each parking position are classified independently.

mmwave Sensor,AWR1642,DCA1000,FMCW,Range Resolution, Millimeter Wave Sensor

"Experimental Evaluation Of Vehicle Mounted mmWave Sensor For Parking Scenario", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.b157-b163, May-2024, Available :http://www.jetir.org/papers/JETIR2405120.pdf

"Experimental Evaluation Of Vehicle Mounted mmWave Sensor For Parking Scenario", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppb157-b163, May-2024, Available at : http://www.jetir.org/papers/JETIR2405120.pdf