Anmol Kumar, Animesh Nath, B A Shivani, Nikhil S Tengli, Arjun Singh


This paper focuses on the implementation, architecture and on-going design of a vehicle when it encounters with an object. The vehicle is driven, guided and controlled by utilizing an array of sensors and software. Many collision warning and avoidance systems were made known at the beginning of 21st century but automobiles won’t necessarily be able to make judgment whether it is a child or an empty cardboard box which can be avoided. Collision can be avoided depending upon the interaction between the human and the car.  Firstlyalgorithms were used to reach the destination. When a car encounters a collision, it naturally comes to a standstill or identifies the vehicle’s next position or lets the vehicle go past it. There are two applications which are highlighted in this paper, one in which there is one route and the human driver takes control of the vehicle and the other one where the human does not interact with the vehicle. The results show that




Training mode, Autonomous mode, ReLu activation function, CNN Algorithm

Full Text:



H. Wu and Y. Feng, "A Pioneering Scalable Self-driving Car Simulation Platform," 2019 IEEE 2nd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE), Shenyang, China, 2019, pp. 149-154.

N. Ali, M. R. Bonyadi, M. A. Raja, J. Akhtar, N. Javedand C. Ryan, "FUSCD - Future Smart Car Driver," 2019 22nd International Multitopic Conference (INMIC), Islamabad, Pakistan, 2019, pp. 1-7.

M. G. Li et al., "DBUS: Human Driving Behavior Understanding System," 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea (South), 2019, pp. 2436-2444.

J. Kim, G. Lim, Y. Kim, B. Kim and C. Bae, "Deep Learning Algorithm using Virtual Environment Data for Self-driving Car," 2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), Okinawa, Japan, 2019, pp. 444-448.

R. Sell, M. Leier, A. Rassõlkin and J. Ernits, "Self-driving car ISEAUTO for research and education," 2018 19th International Conference on Research and Education in Mechatronics (REM), Delft, 2018, pp. 111-116.

D. Dong, X. Li and X. Sun, "A Vision-Based Method for Improving the Safety of Self-Driving," 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS), Shanghai, China, 2018, pp. 167-171.

M. V. Smolyakov, A. I. Frolov, V. N. Volkov and I. V. Stelmashchuk, "Self-Driving Car Steering Angle Prediction Based On Deep Neural Network An Example Of CarND Udacity Simulator," 2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT), Almaty, Kazakhstan, 2018, pp. 1-5.

M. Bojarski et al., "VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving," 2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, 2018, pp. 4701-4708.

Mrs Smita Desai, Miss. Shreya Desai “Smart Vehicle Automation.”2017 International Journal of Computer Science and Mobile Computing. IJCSMC, Vol. 6, Issue. 9, September 2017, pg.46 – 50

M. V. G. Aziz, H. Hindersah and A. S. Prihatmanto, "Implementation of vehicle detection algorithm for self-driving car on toll road cipularang using Python language," 2017 4th International Conference on Electric Vehicular Technology (ICEVT), Sanur, 2017, pp. 149-153.

Q. Memon, M. Ahmed, S. Ali, A. R. Memon and W. Shah, "Self-driving and driver relaxing vehicle," 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI), Rawalpindi, 2016, pp. 170-174.

D. Jianmin, Z. Kaihua and S. Lixiao, "Road and obstacle detection based on multi-layer laser radar in driverless car," 2015 34th Chinese Control Conference

TaeihaghAraz, Lim, Hazel Si Min(2 Jan 2019).”Governing autonomous vehicles: emerginresposibilty of safetyand risks”. Transport Reviews. 39

Maki, Sydney; Sage, Alexandria (19 March 2018). "Self-driving Uber car kills Arizona woman crossing street". Reuters. Retrieved 14 April 2019.

Mochamad Vicky Ghani Aziz’’Implementation of Vehicle Detection Algorithm for Self-Driving Car” 2017 4th International Conference on Electric Vehicular Technology (ICEVT).

Chua L O, RoskaT.(1993). The CNN paradigm[J].Circuits&Systems I Fundamental Theory & Applications IEEE Transactions on,


Razavian A S, Azizpour H, Sullivan J, et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition[C] Computer Society, 2014:512-519



  • There are currently no refbacks.

Copyright (c) 2020 International Journal of Advanced Research in Computer Science