Open Access Open Access  Restricted Access Subscription or Fee Access

Artificial Intelligence Applications in Autonomous Cars: A Review

Anup Shete, Manjusha Namewar, Shreyash Agrawal

Abstract


The day by day increasing demand in automobile industry compel us to find more reliable and efficient ways of transportation. Self-driving autonomous vehicle will be the future in automobile industry. This review paper highlights on innovative technologies that can be used to develop autonomous vehicle. The backbone of driverless vehicle is the artificial intelligence. The path and distance detection is achieved with the help of image processing as well as real time embedded systems. LIDAR is used for visual odometry and perception of egomotion. Facial tracking, gaze tracking, gesture control is possible because of deep learning. GNSS has emerged as one of the prominent factors for the recent development in this area. Self-driving car eliminates human errors, increases road utility and traffic continuity which in turn results in reduction of traffic accidents.


Keywords


Intelligence, Deep Learning, Image Processing, LIDAR, Odometry.

Full Text:

PDF

References


Angelo Nikko Catapang and Manuel Ramos Jr., " Obstacle Detectipn using a 2D LIDAR System for an Autonomous Vehicle", in 2016 6th IEEE Conference on Control System, Computing and Engineering, 25-27 November 2016, Penang, Malaysia.

Aysegul Ucar, Yakup Demir and Cuneyt Guzelis, "Object recognition and detection with deep learning for autonomous driving applications", in Special Issue Article, Transaction of the Society for Modelling and Simulation International 2017.

Vidya Vishwanathan and Rania Hussein, “Application of Image Processing and Real- Time embedded Systems in Autonomous Cars: A Short Review”, in International Journal of Image Processing (IJIP), Volume (11): Issue (2): 2017.

Thorsten Luttel, Michael Himmelsbasch and Hans – Joachim Wuensche, “Autonomous Ground Vehicles- Concepts and Path to the Future”, in Invented Paper, Proceeding of the IEEE, Vol.100, May 13th, 2012.

Mauro Marioni, Tullio Facchinetti, Giorgio Buttazo and Gianluca Franchino, “An Embedded Real Time System for Autonomous Flight Control”, in Proceedings of the 2006 ANIPLA International Congress on Methodologies for Emerging Technologies in Automation.

Adrien Bak, Samia Bouchafa and Didier Aubert, “Dyanamic objects detection through visual odometry and stereo vision: a study of inaccuracy and improvement sources”, in Machine Visions and Applications (2014) 25: 681-697.

Silviu Ionita, “Autonomous vehicle: fromparadigms to technology”, in IOP Conf. Series: Materials Science and Engineering 252 (2017) 012098.

Autonomous applications: http://www.navipedia.net/index.php/Autonomous_Application

The OSU Autonomous Vehicle: http://www2.ece.ohio- state.edu/citr/Demo97/osu-av.html.

R. Mandelbaum, G. Salgian and H. Sawhney, “Correlation- based estimation of ego-motion and structure from motion and stereo”, in Proceeding of Seventh IEEE International Conference on Computer Vision, Sept. 1999.


Refbacks

  • There are currently no refbacks.