理工酷

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