CASE STUDY ON THE IMPLEMENTATION OF THE AUTONOMOUS DRIVING SYSTEMS

Year 2019, Volume: 14 Issue: 1, 1 - 16, 31.01.2019

Arbnor Pajaziti , Ramadan Duraku , Habib Sahitolli

Abstract

This paper presents the basics of autonomous vehicle as well as technologies that enable a vehicle to be self-driving. Taking into the consideration the fact the major causes of traffic accidents are by human errors, with the application of intelligent vehicle systems would be a great help to go to the "zero vision" of life losses in traffic accidents. According to traffic accident statistics, 75% or more of fatal accidents have been caused by human factors such as: lack of attention, stress, loss of orientation, fatigue, health condition, etc. In 24% of cases unexpected behaviors causes traffic accidents and only 0.7% of them are due to technological failures. For this reason, the potential of driver assistance and active safety systems that support the driver in complicated traffic situations is much higher when compared to passive safety. From this perspective it can be seen that with the construction of a self-driving vehicle, 75%
of cases of fatality are likely to have a significant decrease in the percentage of life-loss in total number of traffic accidents. On the other side technological errors that affect the occurrence of fatal accidents may have a slight increase but all this based on the prejudice that in future there will be more vehicles with intelligent systems failures that may occur in disfunctional system.

Keywords

Self-driving Vehicles, Assisting Systems, Automated Systems, Tesla, Google

CASE STUDY ON THE IMPLEMENTATION OF THE AUTONOMOUS DRIVING SYSTEMS

Abstract

This paper presents the
basics of autonomous vehicle as well as technologies that enable a vehicle to
be self-driving. Taking into the consideration the fact the major causes of
traffic accidents are by human errors, with the application of intelligent
vehicle systems would be a great help to go to the "zero vision" of
life losses in traffic accidents. According to traffic accident statistics, 75%
or more of fatal accidents have been caused by human factors such as: lack of
attention, stress, loss of orientation, fatigue, health condition, etc. In 24% of cases unexpected behaviors causes traffic accidents
and only 0.7% of them are due to technological failures. For this
reason, the potential of driver assistance and active safety systems that
support the driver in complicated traffic situations is much higher when compared
to passive safety. From this perspective it can be seen that with the
construction of a self-driving vehicle, 75% of cases of fatality are likely to
have a significant decrease in the percentage of life-loss in total number of
traffic accidents. On the other side technological
errors that affect the occurrence of fatal accidents may have a slight increase
but all this based on the prejudice that in future
there will be more vehicles with intelligent systems failures that may occur in
disfunctional system.

Keywords

Self-driving Vehicles, Assisting Systems, Automated Systems, Tesla, Google

References

• [1] Kichun, J., Myoungho, S., and Chulhoon, J., (2015). Development of Autonomous Car-Part ll: A Case Study on the Implementation of an Autonomous Driving System Baded on Distributed Architecture.
• [2] Kichun, J., Myoungho, S., and Chulhoon, J., (2014). Development of Autonomous Car-Part l.
• [3] Ravi, S. and Adam, J., (2013). Morgan Stanley Blue paper-Autonomous Car, November.
• [4] Gautam, R.G., (2016). Autonomous Vehicle Technology a Brief Overview of the Technology and Current Trends in Autonomous Systems.
• [5] Alex, F. and Mustafa, K., (2007). Autonomous Cars and Society.
• [6] The Architectural Implications of Autonomous Driving: Constraints and Acceleration, Shih-Chieh Lin, Yunqi Zhang, Chang-Hong Hsu, Matt Skach Md E. Haque1, Lingjia Tang, Jason Mars University of Michigan, Ann Arbor.
• [7] Ingle, S. and Phute, M., (2016). Tesla Autopilot: Semi Autonomous Driving, an Uptick for Future Autonomy Shantanu Ingle1, Madhuri Phute2. IRJET.
• [8] Marque Vidorreta, I., (2017). Design and Construction of an Electric Autonomous Driving Vehicle. ETSEIB.
• [9] Broggi, A., Zelinsky, A., Parent, M., and Thorpe, C.E., (2008). Intelligent Vehicles, Springer.
• [10] Tesla Model S owner’s Manual 2016-socure https://carmanuals2.com/tesla/model-s-2016-owner-s-manual-89478.
• [11] Zinchenko, T., (1985). Reliability Assessment of Vehicle-to-Vehicle Communication. Carl-Friedrich-Gauß-Fakultät der Technischen Universität Carolo-Wilhelmina zu Braunschweig zur Erlangung des Grades einer Doktoringenieurin (Dr.-Ing) genehmigte Dissertation.
• [12] http://www.vox.com/2016/4/21/11447838/self-driving-cars-challenges-obstacles.
• [13] http://gizmodo.com/hoW-googles-self-driving-car-is-tackling-the-chaos-of-c-1568687929.
• [14] https://www.youtube.com/watch?v=tiwVMrTLUWg.
• 1. https://www.theguardian.com/technology/2014/may/28/google-self-driving-car-how-does-it-work
• 2. http://www.vox.com/2016/4/21/11447838/self-driving-cars-challenges-obstacles Fig google [website]
• 3. http://gizmodo.com/hoW-googles-self-driving-car-is-tackling-the-chaos-of-c-1568687929 fig google [website fig]
• 4. https://www.youtube.com/watch?v=tiwVMrTLUWg fig google
• 5. http://mashable.com/2016/06/03/google-self-driving-car-honk/#sxadbJxMHgqs
• 6. https://www.tesla.com/presskit/autopilot
• 7. https://carmanuals2.com/tesla/model-s-2016-owner-s-manual-89478
• 8. http://qz.com/524400/tesla-just-transformed-the-model-s-into-a-nearly-driverless-car/
• 9. http://seekingalpha.com/article/3592996-teslas-autopilot-lane-change-likely-unsafe speed?page=2
• 10. http://mashable.com/2015/10/14/tesla-software-7-0/#FI7CDcISVGqJ
• 11. https://fau4u2.wordpress.com/2016/05/09/%F0%9F%9A%98-tesla-autopilot-%F0%9F%94%98-the-future-of-personal-transportation-%F0%9F%94%98-autonomous-driving-coming-soon-%F0%9F%9A%98/
• 12. https://www.nextbigfuture.com/2017/03/starting-in-2018-california-may-allow.html
• 13. https://www.geekwire.com/2016/tesla-autopilot-radar-cloud/
• 14. http://time.com/4494496/tesla-mobileye-autopilot-safety/
• 15. https://www.vectorstock.com/royalty-free-vector/gps-navigation-car-autonomous-satellite-connection-vector-18627799
• 16. https://www.national.co.uk/tech-powers-google-car/
• 17. https://www.templetons.com/brad/robocars/cameras-lasers.html