Energy Assessment of Different Powertrain Options for Heavy-Duty Vehicles and Energy Implications of Autonomous Driving by Sebastian Sigle, Robert Hahn

“…Additionally, the impact of autonomous driving on energy consumption is being investigated. …”
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Decision-Making Model of Autonomous Driving at Intersection Based on Unified Driving Operational Risk Field by Ziming Lu, Weiwei Zhang, Bo Zhao

Subjects: “…autonomous driving…”
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LiDAR-Based Sensor Fusion SLAM and Localization for Autonomous Driving Vehicles in Complex Scenarios by Kai Dai, Bohua Sun, Guanpu Wu, Shuai Zhao, Fangwu Ma, Yufei Zhang, Jian Wu

“…LiDAR-based simultaneous localization and mapping (SLAM) and online localization methods are widely used in autonomous driving, and are key parts of intelligent vehicles. …”
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Fast Drivable Areas Estimation with Multi-Task Learning for Real-Time Autonomous Driving Assistant by Dong-Gyu Lee

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SVD-SLAM: Stereo Visual SLAM Algorithm Based on Dynamic Feature Filtering for Autonomous Driving by Liangyu Tian, Yunbing Yan, Haoran Li

Subjects: “…autonomous driving…”
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Occlusion-Aware Path Planning to Promote Infrared Positioning Accuracy for Autonomous Driving in a Warehouse by Bai Li, Shiqi Tang, Youmin Zhang, Xiang Zhong

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Simulation of Autonomous Driving for a Line-Following Robotic Vehicle: Determining the Optimal Manoeuvring Mode by Murat Bakirci

Subjects: “…autonomous drive…”
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FCOSH: A novel single-head FCOS for faster object detection in autonomous-driving systems by Saad Mboutayeb, Aicha Majda, Khalid Zenkouar, Nikola S. Nikolov

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A real‐time critical‐scenario‐generation framework for defect detection of autonomous driving system by Yizhou Xie, Yong Zhang, Kunpeng Dai, Chengliang Yin

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Semantic Point Cloud Mapping of LiDAR Based on Probabilistic Uncertainty Modeling for Autonomous Driving by Sungjin Cho, Chansoo Kim, Jaehyun Park, Myoungho Sunwoo, Kichun Jo

“…LiDAR-based Simultaneous Localization And Mapping (SLAM), which provides environmental information for autonomous vehicles by map building, is a major challenge for autonomous driving. In addition, the semantic information has been used for the LiDAR-based SLAM with the advent of deep neural network-based semantic segmentation algorithms. …”
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Variational Autoencoder for End-to-End Control of Autonomous Driving with Novelty Detection and Training De-biasing by Amini, Alexander, Araki, Brandon, Rus, Daniela, Schwarting, Wilko, Rosman, Guy, Karaman, Sertac, Rus, Daniela L

“…This paper introduces a new method for end-to-end training of deep neural networks (DNNs) and evaluates it in the context of autonomous driving. DNN training has been shown to result in high accuracy for perception to action learning given sufficient training data. …”
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Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation by Amini, Alexander A, Gilitschenski, Igor, Phillips, Jacob, Moseyko, Julia, Banerjee, Rohan, Karaman, Sertac, Rus, Daniela L

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Towards safe and personalized autonomous driving: decision-making and motion control with DPF and CDT techniques by Huang, C, Lv, C, Hang, P, Xing, Y

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars by Martin Holen, Kristian Muri Knausgård, Morten Goodwin

Subjects: “…autonomous driving…”
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DGPR‐MPC: Learning‐based model predictive controller for autonomous vehicle path following by Xuekai Yu, Hai Wang, Chenglong Teng, Xiaoqing Sun, Long Chen, Yingfeng Cai

Subjects: “…autonomous driving…”
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Design, Implementation, and Empirical Validation of a Framework for Remote Car Driving Using a Commercial Mobile Network by Javier Saez-Perez, Qi Wang, Jose M. Alcaraz-Calero, Jose Garcia-Rodriguez

Subjects: “…autonomous driving…”
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LiDAR- and Radar-Based Robust Vehicle Localization with Confidence Estimation of Matching Results by Ryo Yanase, Daichi Hirano, Mohammad Aldibaja, Keisuke Yoneda, Naoki Suganuma

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A localization and navigation method for underground mine autonomous driving based on local geometric topology map by LIU Shijie, ZOU Yuan, ZHANG Xudong

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Modeling and simulation of charging characteristics of electric vehicle group under the mode of autonomous driving‐shared travel by Junliang Zhu, Zhigang Wu, Chongchen Chen, Entong Su

“…Abstract Compared with the traditional travel mode, the increasingly mature autonomous driving and shared travel technologies can lead to a higher driving utilization rate and lower car parc; however, at the same time, they will bring unknown impacts to the trans‐energy system. …”
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5G-Enabled Autonomous Driving Demonstration with a V2X Scenario-in-the-Loop Approach by Zsolt Szalay, Dániel Ficzere, Viktor Tihanyi, Ferenc Magyar, Gábor Soós, Pál Varga

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