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无人驾驶论文合集
论文集锦的目录： 1、arch A functional architecture for autonomous driving A functional reference architecture for autonomous driving A Standard Driven Software Architecture for Fully_Autonomous Vehicles AutonomousCar-ASPLOS18_check CAAD_ Computer Architecture for Autonomous Driving Towards a Functional System Architecture for_Automated Vehicles 2、ASSESSMENT Driving Style Recognition for Intelligent _Vehicle Control and Advanced Driver Assistance A Survey Integrating Driving Behavior and Traffic Context__through Signal Symbolization for Data Reduction_and Risky Lane Change Detection 3、endtoend ALVINN_ __AN AUTONOMOUS LAND VEHICLE IN A _NEURAL NETWORK End to End Learning for Self-Driving Cars 4、hardware AutonomousCar-ASPLOS18 5、hdmap Highiy Efficient HD Map Creation_ __Acceierating Mapping Process with GPUs 6、HMI How can humans understand their automated cars_ HMI principles, __problems and solutions Human-Machine Interaction for__Vehicles_ Review and Outlook 7、localization ausicorrection Autonomous Vehicle Navigation in Rural Environments without Detailed_ Prior Maps High Speed Navigation of Unrehearsed Terrain___Red Team Technology for Grand Challenge 2004 Localization in highly dynamic environments__using dual-timescale NDT-MCL Map-Based Precision Vehicle Localization_in Urban Environments Road Marking Detection Using LIDAR Reflective Intensity Data and its__Application to Vehicle Localization A Survey of the State-of-the-Art Localisation __Techniques and Their Potentials for Autonomous _Vehicle Applications Simultaneous Localization And Mapping_ A Survey of_Current Trends in Autonomous Driving 8、network Information-Centric Networking for __Connected Vehicles___A Survey and Future Perspectives Internet of Vehicles_ From Intelligent Grid to__Autonomous Cars and Vehicular Clouds Internet of Vehicles_ From intelligent__grid to autonomous cars and_vehicular fogs 9、perception Hybrid Sensor Fusion Framework for Perception in Autonomous Vehicles Liang_Multi-Task_Multi-Sensor_Fusion_for_3D_Object_Detection_CVPR_2019_paper SigProc-Fusion 目标跟踪算法综述 A Survey of Deep Learning Techniques for Autonomous Driving Autonomous vehicle perception_ The technology of today and tomorrow Computer Vision for Autonomous Vehicles Computer Vision-Based Multiple-Lane Detection __on Straight road and in a Curve Finding multiple lanes in urban road networks with vision and_lidar Illumination Invariant Imaging_ Applications in Robust Vision-based__Localisation, Mapping and Classification for Autonomous Vehicles PROBE-GK_ Predictive Robust Estimation using Generalized Kernels 10、planning A Review of Motion Planning Techniques__for Automated Vehicles A Survey of Motion Planning and Control__Techniques for Self-driving Urban Vehicles Annual Review of Control, Robotics, and_ Autonomous Systems Route Planning in Transportation Networks 11、simulatorAndTools A survey on vehicular cloud computing Learning a Driving Simulator Testing of advanced driver assistance towards automated driving___A survey and taxonomy on existing approaches and open questions 12、V2x A Survey of Vehicle to Everything (V2X) Testing A survey on vehicular cloud computing Information-Centric Network-Based Vehicular__Communications_ Overview and__Research Opportunities Infotainment and road safety service support in vehicular networking___From a communication perspective Interworking of DSRC and Cellular Network__Technologies for V2X Communications_ A Survey Vehicular Cloud Computi A Survey of Autonomous Driving_ Common_Practices and Emerging Technologies Autonomous driving in urban environments__approaches, lessons and challenges Perception, Planning, Control, and Coordination for Autonomous Vehicles Self-Driving Cars_ A Survey Towards Fully Autonomous Driving_ Systems and Algorithms 本资料为知乎用户王方浩整理，已获整理者授权
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2021数字科技前沿应用趋势
