[1] Driving Space for Autonomous Vehicles (自动驾驶汽车的行驶空间)
[2] 3D Vehicle Detection Based on LIDAR and Camera Fusion (基于激光雷达和摄像头融合的多车辆检测)
[3] Numerical Implementation of High-order Vold–Kalman Filter Using Python Arbitrary-precision Arithmetic Library (基于 python任意精度计算库的高阶Vold-Kalman滤波器数值实现)
[4] Cooperative Lane-change Maneuver for Multiple Automated Vehicles on a Highway (高速公路多车协同自动换道控制策略)
[5] Concept Study of a Self-localization System for Snow-covered Roads Using a Four-layer Laser Scanner (基于四层激光扫描的积雪覆盖道路自定位系统概念研究)
[6] Integrated Spacing Policy Considering Micro- and Macroscopic Characteristics (融合微观和宏观特性的综合间距策略)
[7] End-to-end Self-driving Using Deep Neural Networks with Multi-auxiliary Tasks(基于多辅助任务深度神经网络的端到端自动驾驶)
[8] Blind Spot ObstacleDetection from Monocular Camera Images with Depth Cues Extracted by CNN(采用CNN提取单目相机图像深度特征的盲点区域检测)
[9] Engine-map-based Predictive Fuel-efficient Control Strategies for a Group of Connected Vehicles (基于发动机脉谱图的智能网联车辆队列燃油经济性预测控制)
[10] Simulation and Analysis on Overtaking Safety Assistance Aystem Based on Vehicle-to-vehicle Communication(基于V2V通讯的超车安全辅助系统仿真与分析)
[11] Optimizing Neural Network Parameters Using Taguchi’s Design of Experiments Approach: an Application for Equivalent Stress Prediction Model of Automobile Chassis (基于田口试验设计的神经网络参数优化及其在汽车底盘等效应力预测模型的应用)
[12] Evaluation of the Effectiveness of Awareness Messages for Road Traffic Hazards in Experimental Tests Hazards
[13] Survey on artificial intelligence for vehicles(车辆人工智能研究)