Electronic sensing technologies for autonomous ground vehicles: A review

Autonomous ground vehicles have evolved a lot in the past decade. Several prototypes have been presented and tested in different conditions. A major challenge for such vehicles is the fact that they depend on advanced sensing technologies to perceive the environment and make real-time decisions. The complexity of this task typically requires multiple sensing devices, which is both a technical challenge as well as a limiting factor for autonomous vehicles evolution to mass-production. In this paper we review the current main sensing technologies for autonomous ground vehicles, their suitability and maturity status, as well as the way they have been used in prototype cars. This analysis gives a perspective of their evolution so far, as well as an indication of possible future trends.

[1]  Carlos González,et al.  LIDAR based perception solution for autonomous vehicles , 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

[2]  Karsten Berns,et al.  {RAVON} -- The Robust Autonomous Vehicle for Off-road Navigation , 2009 .

[3]  William Whittaker,et al.  Autonomous Driving in Traffic: Boss and the Urban Challenge , 2009, AI Mag..

[4]  Luke Fletcher,et al.  A perception-driven autonomous urban vehicle , 2008 .

[5]  Ryan Calo,et al.  Legal Aspects of Autonomous Driving , 2010 .

[6]  Tyler C. Folsom,et al.  Energy and Autonomous Urban Land Vehicles , 2012, IEEE Technology and Society Magazine.

[7]  Thomas B. Moeslund,et al.  Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey , 2012, IEEE Transactions on Intelligent Transportation Systems.

[8]  N. Suganuma,et al.  Development of an autonomous vehicle — System overview of test ride vehicle in the Tokyo motor show 2011 , 2012, 2012 Proceedings of SICE Annual Conference (SICE).

[9]  Keith Redmill,et al.  Systems for Safety and Autonomous Behavior in Cars: The DARPA Grand Challenge Experience , 2007, Proceedings of the IEEE.

[10]  Luke Fletcher,et al.  A perception‐driven autonomous urban vehicle , 2008, J. Field Robotics.

[11]  Christopher A. Rouff,et al.  Experience from the DARPA Urban Challenge , 2011 .

[12]  Miao Wang,et al.  Radar/Lidar sensor fusion for car-following on highways , 2011, The 5th International Conference on Automation, Robotics and Applications.

[13]  B. Fleming,et al.  Recent Advancement in Automotive Radar Systems [Automotive Electronics] , 2012, IEEE Vehicular Technology Magazine.

[14]  Ignacio Parra,et al.  Free space and speed humps detection using lidar and vision for urban autonomous navigation , 2012, 2012 IEEE Intelligent Vehicles Symposium.

[15]  Dongwook Kim,et al.  Environment-Detection-and-Mapping Algorithm for Autonomous Driving in Rural or Off-Road Environment , 2012, IEEE Transactions on Intelligent Transportation Systems.

[16]  Joel W. Burdick,et al.  Alice: An information‐rich autonomous vehicle for high‐speed desert navigation , 2006 .

[17]  Sebastian Thrun,et al.  Model based vehicle detection and tracking for autonomous urban driving , 2009, Auton. Robots.

[18]  Tarun Nimmagadda April Building an Autonomous Ground Traffic System , 2007 .

[19]  Michael Himmelsbach,et al.  Autonomous Ground Vehicles—Concepts and a Path to the Future , 2012, Proceedings of the IEEE.

[20]  Erico Guizzo,et al.  Robotics Trends for 2012 [The Future Is Robots] , 2012, IEEE Robotics Autom. Mag..