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Prototype for Parking Shield System Using Raspberry Pi

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Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems (VSPICE 2022)

Abstract

The automotive industry is seen to be making a transformation from manual to semi-autonomous to fully autonomous vehicles. Advanced Driver Assistance System (ADAS) forms a major building block for the next generation of highly Autonomous Vehicles. ADAS is among the fastest-growing segments in automotive electronics and includes large number of applications like Antilock braking system, automatic speed control, Parking assistance system, lane keeping assist etc. Parking assistant system supports several functionalities like Parking line detection, object detection, pedestrian classification, parking support functions etc. These functions are mainly implemented using Surround View Camera System (SVCS) which provides real-time view of the area surrounding the car. Parking Shield System (PSS) is one such parking support function which works with the help of SVCS. PSS is used as an aid to identify the damage caused to the parked vehicle. This work proposes a prototype development for PSS using Raspberry Pi. Acceleration sensor is used to detect the movement of the vehicle and once the vehicle movement is detected, LEDs glow (indicating opening of flaps and mirrors). Immediately, USB Camera connected to Raspberry Pi captures the image and is displayed in VNC Viewer window.

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References

  1. Dr.Bassim Abdulbaqi jumaa (2019) Advanced Driver Assistance System (ADAS): a review of systems and technologies. Int J Adv Res Comp Eng Technol (IJARCET) 8(6), ISSN: 2278 – 1323

    Google Scholar 

  2. Yanjun Fan, Weigong Zhang (2015) Traffic sign detection and classification for Advanced Driver Assistant Systems. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp 1335–1339. https://doi.org/10.1109/FSKD.2015.7382137

  3. Yankun Z, Hong C, Weyrich N (2011) A single camera based rear obstacle detection system. IEEE Intel Veh Symp (IV) 2011:485–490. https://doi.org/10.1109/IVS.2011.5940499

    Article  Google Scholar 

  4. Zhang B et al (2014) A surround view camera solution for embedded systems. IEEE Conf Comp Vision Pattern Recog Works 2014:676–681. https://doi.org/10.1109/CVPRW.2014.103

    Article  Google Scholar 

  5. Install OpenCV-Codebind http://www.codebind.com/. Accessed 14 June 2022

  6. Bio-Inspired Visual Sensors for Robotic and Automotive Applications - Scientific Figure on ResearchGate. https://www.researchgate.net/figure/Scheme-of-the-sensors-used-in-advanced-driver-assistance-systems-ADAS-available-on_fig3_315842945. Accessed 19 Nov, 2022

  7. https://techjournal.org/how-to-install-360-bird-view-camera-in-car/. Accessed 19 Nov, 2022

  8. Raspberry Pi. https://www.raspberrypi.com/products/raspberry-pi-3-model-b-plus/. Accessed 19 Nov, 2022

  9. https://randomnerdtutorials.com/esp32-mpu-6050-accelerometer-gyroscope-arduino/. Accessed 19 Nov, 2022

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Correspondence to K. Mahaveera .

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Rajeshwari, R.B., Mahaveera, K. (2024). Prototype for Parking Shield System Using Raspberry Pi. In: Kalya, S., Kulkarni, M., Bhat, S. (eds) Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems. VSPICE 2022. Lecture Notes in Electrical Engineering, vol 1062. Springer, Singapore. https://doi.org/10.1007/978-981-99-4444-6_1

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  • DOI: https://doi.org/10.1007/978-981-99-4444-6_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-4443-9

  • Online ISBN: 978-981-99-4444-6

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