A Robust Real-Time Computing-based Environment Sensing System for Intelligent Vehicle
Beijing University of Technology（北京工业大学）；Chinese Academy of Sciences（中国科学院）；University of Macau（澳门大学）；Macau University of Science and Technology（澳门科技大学）
For intelligent vehicles, sensing the 3D environment is the first but crucial step. In this paper, we build a real-time advanced driver assistance system based on a low-power mobile platform. The system is a real-time multi-scheme integrated innovation system, which combines stereo matching algorithm with machine learning based obstacle detection approach and takes advantage of the distributed computing technology of a mobile platform with GPU and CPUs. First of all, a multi-scale fast MPV (Multi-Path-Viterbi) stereo matching algorithm is proposed, which can generate robust and accurate disparity map. Then a machine learning, which is based on fusion technology of monocular and binocular, is applied to detect the obstacles. We also advance an automatic fast calibration mechanism based on Zhang's calibration method. Finally, the distributed computing and reasonable data flow programming are applied to ensure the operational efficiency of the system. The experimental results show that the system can achieve robust and accurate real-time environment perception for intelligent vehicles, which can be directly used in the commercial real-time intelligent driving applications.
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Honda Research Institute（本田研究所）；School of Informatics, Computing and Engineering, Indiana University（印第安纳大学信息学、计算与工程学院）；Robotics Institute, University of Michigan（密歇根大学机器人研究所）
An Intelligent Monitoring System of Vehicles on Highway Traffic
University of Engineering and Technology Peshawar（白沙瓦工程技术大学）；University of Swabi（斯瓦比大学）；COMSATS University Islamabad（伊斯兰堡COMSATS大学）；Jessore University of Science and Technology（杰索尔科技大学）
An Intelligent Safety System for Human-Centered Semi-Autonomous Vehicles
Institute for Advanced Studies in Basic Sciences (IASBS)（基础科学高级研究学院）；Charles University（查理大学）；Institute for Research in Fundamental Sciences (IPM)（基础科学研究所）
