Perception, Planning, Control, and Coordination for Autonomous Vehicles
Top Cited Papers
Open Access
- 17 February 2017
- Vol. 5 (1), 6
- https://doi.org/10.3390/machines5010006
Abstract
Autonomous vehicles are expected to play a key role in the future of urban transportation systems, as they offer potential for additional safety, increased productivity, greater accessibility, better road efficiency, and positive impact on the environment. Research in autonomous systems has seen dramatic advances in recent years, due to the increases in available computing power and reduced cost in sensing and computing technologies, resulting in maturing technological readiness level of fully autonomous vehicles. The objective of this paper is to provide a general overview of the recent developments in the realm of autonomous vehicle software systems. Fundamental components of autonomous vehicle software are reviewed, and recent developments in each area are discussed.Keywords
This publication has 110 references indexed in Scilit:
- SVM-Based Classification of Segmented Airborne LiDAR Point Clouds in Urban AreasRemote Sensing, 2013
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Evaluation of the public health impacts of traffic congestion: a health risk assessmentEnvironmental Health, 2010
- Finding multiple lanes in urban road networks with vision and lidarAutonomous Robots, 2009
- Online generation of scene descriptions in urban environmentsRobotics and Autonomous Systems, 2008
- Supervised semantic labeling of places using information extracted from sensor dataRobotics and Autonomous Systems, 2007
- Surface mesh segmentation and smooth surface extraction through region growingComputer Aided Geometric Design, 2005
- Lane detection and tracking using B-SnakeImage and Vision Computing, 2004
- Fully automatic registration of multiple 3D data setsImage and Vision Computing, 2003
- A note on two problems in connexion with graphsNumerische Mathematik, 1959