Automatic Vehicle Guidance: The Experience of the ARGO Autonomous VehicleThis book surveys the history of automatic vehicle guidance based on the processing of visual information, starting from the very first projects worldwide up to the latest developments. It also presents the ARGO prototype vehicle, developed at the University of Parma (Italy), and describes its equipment, setup, and performance. ARGO has been equipped with cameras and processing systems to drive autonomously in real traffic conditions. The complete system has been tested on public roads, during a tour in which ARGO drove itself along the Italian highway network for more than 2000 km. A detailed analysis of this trip is also included. |
Contents
Technology | 3 |
Introduction | 5 |
State of the | 21 |
Algorithms for Image Processing | 59 |
Hardware Support for RealTime Image Processing | 124 |
The ARGO Vehicle | 161 |
6 | 173 |
The Mille Miglia in Automatico Tour | 181 |
Performance Analysis | 187 |
Closing Remarks | 201 |
References | 225 |
Biographic Notes | 241 |
Other editions - View all
Automatic Vehicle Guidance Massimmo Bertozzi,Alberto Broggi,Gianni Conte,Alessandra Fascioli Limited preview - 1999 |
Common terms and phrases
acquisition active sensors algorithm allows analysis applications approach architecture ARGO automatic driving Automatic Vehicle autonomous vehicle binary binary image bit/pixel calibration cameras Cellular Automata communications Computer Vision Conf developed difference image distance Distance Transform edge environment evaluated filter flat road functionalities hardware highways horopter IEEE IEEE Intelligent Vehicles image processing implementation input image Intelligent Transportation Systems iterations km/h Lane Detection lane markings large number loop low-level Machine Vision Mille Miglia MOB-LAB morphological number of different Obstacle Detection operations optical flow optimization output PAPRICA PAPRICA-3 parameters Parma performed perspective effect pixels polar histogram polylines position problem processor Procs prototype radars real-time rectangles remapped image represents result road markings robotics shown in figure SIMD solutions specific speed steering wheel stereo images stereo vision template tested threshold tion traffic Università di Parma vehicle's vision system