为便于广大科技工作者更好的了解中国汽车行业首个英文学术期刊《Automotive Innovation》，并更快的定位到自己感兴趣的论文，编辑部把2018-2019年刊出的70篇论文摘要进行集结，并按照节能与环保(Energy-saving & Eco-systems)、智能网联汽车(Intelligent and Connected Vehicles)、电动汽车(Electric Vehicles)、车身设计与轻量化(Body Design & Lightweight)、汽车安全技术(Automotive Safety)等领域分类，分6个系列分享给广大科技工作者。现分享系列2——Intelligent and Connected Vehicles,共计13篇文章，论文题目及摘要链接如下(中文译文仅供参考，点击标题可查看中英文摘要和全文链接)。
Intelligent and Connected Vehicles
Driving Space for Autonomous Vehicles (自动驾驶汽车的行驶空间)
- 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)
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)
- 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)
- 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)
- Integrated Spacing Policy Considering Micro- and Macroscopic Characteristics (融合微观和宏观特性的综合间距策略)
- 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)
- 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)
- 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)
- 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)
- 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)
- Evaluation of the Effectiveness of Awareness Messages for Road Traffic Hazards in Experimental Tests Hazards
Survey on artificial intelligence for vehicles(车辆人工智能研究)
Automotive Innovation介绍
在线投稿
1.本刊只接受作者原创、未公开发表过的论文，拒绝一稿多投；2.来稿要求论点鲜明、论据充分、英文精炼、数据可靠，篇幅在7000字左右为宜；3. 可登录期刊官网阅读及投稿：
https://www.springer.com/42154
www.Chinasaejournal.com.cn
4.论文发表无需费用。联系方式
联系人：陆丽俐电话: 86-10-50950036邮箱: jai-editor@sae-china.org
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