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Review of Challenges and Proposed Research Directions and Radar Sensor Solution for the Deployment of Self-driving Cars.


Affiliations
1 Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL 32901., United States
 

As the deployment of self-driving cars (SDC) is gearing up faster than it was initially conceived, there are still some challenges, questions, and concerns that need to be addressed before the technology can be fully implemented and rolled out. The existing literature lists few and some do not propose the direction or demonstration for tackling the listed problems. This proposed study gives a brief overview of identified potential challenges to the deployment of SDC and a guide on finding solutions to the challenges. This will aid researchers and developers on where to explore in order to facilitate the development, implementation, and deployment of SDC technology. It also demonstrates the coexistence of radar sensor and radarcommunication as a proposed solution in SDC implementation.

Keywords

Challenges, Deployment, Implementation, Proposed solution, Radar, Review, Self-driving cars.
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  • M. Revilloud , D. Gruyer and S. Glaser, "A Review of Motion Planning for Highway Autonomous," IEEE Transactions on Intelligent Transportation Systems, vol. 10.1109/TITS.2019.2913998, pp. 1-23, 2019.

  • M. J. Hanna and S. C. Kimmel, "Current US Federal Policy Framework for Self-Driving Vehicles: Opportunities and Challenges," IEEE Computer, vol. 50, no. 12, pp. 32 - 40, 2017.

  • "Challenges in designing a fully autonomous system for driverless cars," IToTWorld, 2019. [Online]. Available: https://iiot-world.com/artificial-intelligence/five-challenges-in-designing-a-fully-autonomous-system-for-driverless-cars/. [Accessed 11 November 2019].

  • "Bring Level 4 Autonomous Driving Vehicles to Consumers," NIO, 5 Nov 2019. [Online]. Available: https://www.nio.com/news/nio-inc-announces-strategic-collaboration-mobileye-bring-level-4-autonomous-driving-vehicles. [Accessed 12 November 2019].

  • "Future of Driving," Tesla, 2019. [Online]. Available: https://www.tesla.com/autopilot. [Accessed 11 November 2019].

  • "We're building the World's Most Dxpereinced Driver," Gpoogle's Waymo, 2019. [Online]. Available: https://waymo.com/. [Accessed 11 November 2019].

  • "SELF-DRIVING CARS," NVIDIA, 2019. [Online]. Available: https://www.nvidia.com/en-us/self-driving-cars/drive-labs/. [Accessed 11 November 2019].

  • "Advanced Technologies Group," Uber, 2019. [Online]. Available: https://www.uber.com/us/en/atg/. [Accessed 11 November 2019].

  • N. C. Moore, "Mcity demos: Self-driving cars can be even safer with connected technology," 23 June 2017. [Online]. Available: https://news.umich.edu/mcity-demos-self-driving-cars-can-be-even-safer-with-connected-technology/. [Accessed 28 November 2019].

  • M.-D. Margarita and S. Francesc, "Autonomous vehicles: theoretical and practical challenges," Transportation Research Procedia, vol. 33, pp. 275-282, 2018.

  • "Top 3 Challenges to Produce Level 5 Autonomous Vehicles," ANSYS, 2019. [Online]. Available: https://www.ansys.com/blog/challenges-level-5-autonomous-vehicles. [Accessed 11 November 2019].

  • "5 big challenges that self-driving cars still have to overcome," VoX, 2019. [Online]. Available: https://www.vox.com/2016/4/21/11447838/self-driving-cars-challenges-obstacles . [Accessed 11 November 2019].

  • A. Vempaty, B. Kailkhura and P. K. Varshney, "Human-Machine Inference Networks for Smart Decision Making: Opportunities and Challenges," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, AB, Canada, 2018.

  • "The three challenges keeping cars from being fully autonomous," MIT Technology Review, 2019. [Online]. Available: https://www.technologyreview.com/s/613399/the-three-challenges-keeping-cars-from-being-fully-autonomous/. [Accessed 11 November 2019].

  • L. Zheng, M. Lops , Y. C. Eldar and X. Wang, "Radar and Communication Coexistence: An Overview: A Review of Recent Methods," IEEE Signal Processing Magazine , vol. 36, no. 5, pp. 85 - 99, 2019.

  • O. E. Olasupo, "An Efficient Vehicle-to-Everything (V2X) Communication Algorithm for the Deployment and Operation of Self-driving Cars," International Journal Advanced Networking and Applications, vol. 14, no. 1, pp. 5237-5249, 2022.

  • A. Zaarane, I. Slimani, A. Hamdoun and I. Atouf, "Vehicle to vehicle distance measurement for self-driving systems," in 6th International Conference on Control, Decision and Information Technologies (CoDIT), Paris, France, France, 2019.

  • H. G. Garakani, B. Moshiri and S. Safavi-Naeini, "Cyber Security Challenges in Autonomous Vehicle: Their Impact on RF Sensor and Wireless Technologies," in International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), Waterloo, ON, Canada, 2018.

  • "Radar Measurement," Keysight, 11 June 2014. [Online]. Available: https://literature.cdn.keysight.com/litweb/pdf/5989-7575EN.pdf. [Accessed 29 November 2019].

  • "Radar Signal Simulation and Processing for Automated Driving," MATLAB, 13 April 2019. [Online]. Available: https://www.mathworks.com/help/phased/examples/radar-signal-simulation-and-processing-for-automated-driving.html. [Accessed 29 November 2019].


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  • Review of Challenges and Proposed Research Directions and Radar Sensor Solution for the Deployment of Self-driving Cars.

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Authors

Olawale E. Olasupo
Department of Electrical and Computer Engineering, Florida Institute of Technology, Melbourne, FL 32901., United States

Abstract


As the deployment of self-driving cars (SDC) is gearing up faster than it was initially conceived, there are still some challenges, questions, and concerns that need to be addressed before the technology can be fully implemented and rolled out. The existing literature lists few and some do not propose the direction or demonstration for tackling the listed problems. This proposed study gives a brief overview of identified potential challenges to the deployment of SDC and a guide on finding solutions to the challenges. This will aid researchers and developers on where to explore in order to facilitate the development, implementation, and deployment of SDC technology. It also demonstrates the coexistence of radar sensor and radarcommunication as a proposed solution in SDC implementation.

Keywords


Challenges, Deployment, Implementation, Proposed solution, Radar, Review, Self-driving cars.

References