Development of Environmental Perception Algorithm Test Evaluation Systems for Intelligent Vehicles
WEI Hanbing1;CAO Xu1;LAI Feng2
1.School of Mechatronics and Vehicle Engineering,Chongqing Jiaotong University,Chongqing,400074
2.Dongfeng Motor Corporation Technical Center,Wuhan,430030
Online:2018-10-10
Published:2018-10-08
Supported by:
National Natural Science Foundation of China (No. 51305472)
Natural Science Foundation of Chongqing(No. cstc2014jcyjA6000)
国家自然科学基金资助项目(51305472);
重庆市自然科学基金资助项目(cstc2014jcyjA6000)
National Natural Science Foundation of China (No. 51305472)
Natural Science Foundation of Chongqing(No. cstc2014jcyjA6000)
WEI Hanbing1;CAO Xu1;LAI Feng2. Development of Environmental Perception Algorithm Test Evaluation Systems for Intelligent Vehicles[J]. China Mechanical Engineering.
[1]SRINIVASA N. Vision-based Vehicle Detection and Tracking Method for Forward Collision Warning in Automobiles[C]// Proceedings of the Intelligent Vehicle Symposium. Versailles: IEEE, 2002:626-631.
[2]ESTABLE S, SCHICK J, STEIN F,et al. A Real-time Traffic Sign Recognition System[C]// Proceedings of the Intelligent Vehicles Symposium. Paris: IEEE, 1994:213-218.
[3]BERTOZZI M, BROGGI A, CASTELLUCCIO S. A Real-time Oriented System for Vehicle Detection 1[J]. Journal of Systems Architecture, 1997, 43(1):317-325.
[4]陈尧.城市复杂环境下智能车辆视觉感知技术研究[D].重庆:重庆交通大学,2017.
CHEN Yao. Development of Environmental Perception Algorithm of Intelligent Vehicle for Complicated Urban Driving Cycle[D]. Chongqing: Chong-qing Jiaotong University,2017.
[5]ANDRIYENKO A, SCHINDLER K. Globally Optimal Multi-target Tracking on a Hexagonal Lattice[C]// European Conference on Computer Vision. Heraklion: ECCV, 2010:466-479.
[6]HANG K, LI X R, CHEN H. Multi-sensor Multi-target Tracking with Out-of-sequence Measurements[C]// Proceedings of the Fifth International Conference on Information Fusion. Annapolis: IEEE, 2003:672-679.
[7]OKUMA K, TALEGHANI A, FREITAS N D, et al. A Boosted Particle Filter: Multitarget Detection and Tracking[C]//European Conference on Computer Vision. Prague: ECCV, 2004:28-39.
[8]CLEMENT G, ROMAIN R, XAVIER S. Vehicle-hardware-in-the-loop System for ADAS Prototyping and Validation[C]// 2014 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation. Agios Konstantinos: IEEE, 2014: 329-334.
[9]KAMNIK R, AMBROZ M, KUZELICKI J, et al. Robot Environment for Combat Vehicle Driving Simulation[C]// 2012 IEEE International Conference on Robotics and Automation (ICRA). Saint Paul: IEEE, 2012: 4136-4141.
[10]GRUYER D, PECHBERTI S, GLASER S. Development of Full Speed Range ACC with SiVIC, a Virtual Platform for ADAS Prototyping, Test and Evaluation[C]//Intelligent Vehicles Symposium Workshops. Gold Coast: IEEE, 2013:93-98.
[11]GKETELINK O, PLOEG J, De SCHUTTER B, et al. Development of Advanced Driver Assistance Systems with Vehicle Hardware-in-the-loop Simulations[J]. Vehicle System Dynamics, 2006, 44(7): 569-590.
[12]KAMNIK R, AMBROZ M, KUZELICKI J, et al. Robot Environment for Combat Vehicle Driving Simulation[C]// 2012 IEEE International Conference on Robotics and Automation (ICRA). Saint Paul: IEEE, 2012: 4136-4141.
[13]KLASER L, OSORIO F S, WOLF D. Simulation of an Autonomous Vehicle with a Vision-based Navigation System in Unstructured Terrains Using OctoMap[C]// 2013 Ⅲ Brazilian Symposium on Computing Systems Engineering. Niteroi: IEEE, 2013: 177-178.
[14]ZLFKA M R, KOHLHAAS R, SCHAMM T, et al. Semivirtual Simulations for the Evaluation of Vision-based ADAS[C]// 2014 IEEE Intelligent Vehicles Symposium Proceedings. Dearborn: IEEE, 2014: 121-126.