Multi-GNSS Precise Point Positioning with UWB Tightly Coupled Integration by Zhenchuan Huang, Shuanggen Jin, Ke Su, Xu Tang

“…Global Navigation Satellite Systems (GNSSs) can provide high-precision positioning services, which can be applied to fields including navigation and positioning, autonomous driving, unmanned aerial vehicles and so on. …”
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PSNet: LiDAR and Camera Registration Using Parallel Subnetworks by Yi Wu, Ming Zhu, Ji Liang

“…The working environment of autonomous driving and robot navigation is so complex and dynamic that a single type of sensor is insufficient for performing object detection. …”
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Neural architecture search for resource constrained hardware devices: A survey by Yongjia Yang, Jinyu Zhan, Wei Jiang, Yucheng Jiang, Antai Yu

“…However, the mismatch between hardware devices with low computing capacity and the increasing complexity of Deep Neural Network models, as well as the growing real‐time requirements, bring challenges to the design and deployment of deep learning models. For example, autonomous driving technologies rely on real‐time object detection of the environment, which cannot tolerate the extra latency of sending data to the cloud, processing and then sending the results back to edge devices. …”
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Enhancing feature fusion with spatial aggregation and channel fusion for semantic segmentation by Jie Hu, Huifang Kong, Lei Fan, Jun Zhou

“…Abstract Semantic segmentation is crucial to the autonomous driving, as an accurate recognition and location of the surrounding scenes can be provided for the street scenes understanding task. …”
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Trends and Emerging Technologies for the Development of Electric Vehicles by Tiande Mo, Yu Li, Kin-tak Lau, Chi Kin Poon, Yinghong Wu, Yang Luo

“…This paper reviews new trends and emerging EV technologies, including wireless charging, smart power distribution, vehicle-to-home (V2H) and vehicle-to-grid (V2G) systems, connected vehicles, and autonomous driving. The opportunities, challenges, and prospects for emerging EV technologies are systematically discussed. …”
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Transformer-Based Global PointPillars 3D Object Detection Method by Lin Zhang, Hua Meng, Yunbing Yan, Xiaowei Xu

“…The PointPillars algorithm can detect vehicles, pedestrians, and cyclists on the road, and is widely used in the field of environmental awareness in autonomous driving. However, its feature encoding network only uses a minimalist PointNet network for feature extraction of point cloud information, which does not consider the global context information of the point cloud, and the local structure features are not sufficiently extracted, and these feature losses can seriously affect the performance of the object detection network. …”
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Autonomous Vehicles: An Analysis Both on Their Distinctiveness and the Potential Impact on Urban Transport Systems by Alessandro Severino, Salvatore Curto, Salvatore Barberi, Fabio Arena, Giovanni Pau

“…Autonomous driving is a technological innovation that involves the use of Artificial Intelligence (AI) in the automotive area, representing the future of transport and whose applications will influence the concept of driving and many other features of modern society. …”
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DRL-based Resource Management in Network Slicing for Vehicular Applications by Muhammad Ashar Tairq, Malik Muhammad Saad, Muhammad Toaha Raza Khan, Junho Seo, Dongkyun Kim

“…However, the advanced vehicular applications such as autonomous driving, platooning, remote driving, etc. have stringent QoS demands and the standard NS architecture is not sustainable for these services. …”
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Guest editorial: Advanced signal processing for integration of radar and communication (IRC) by Bin Liao, Wei Liu, Ziyang Cheng, Tianyao Huang

“…Besides the military field, radar has been widely employed in daily life including weather service, air traffic control, autonomous driving and security monitoring. Meanwhile, these applications rely Largely on information transmission through wireless communications. …”
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Brain-Computer Interface using neural network and temporal-spectral features by Gan Wang, Moran Cerf

“…Such BCIs can be used to assist individuals who lost mobility or control over their limbs, for recreational purposes such as gaming or semi-autonomous driving, or as an interface toward man-machine integration. …”
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An Investigation of Cyber-Attacks and Security Mechanisms for Connected and Autonomous Vehicles by Sandeep Gupta, Carsten Maple, Roberto Passerone

“…Such innovations for transportation can bring manyfold benefits, from fully autonomous driving services to proactive vehicle monitoring and traffic management. …”
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Towards a Fully Automated 3D Reconstruction System Based on LiDAR and GNSS in Challenging Scenarios by Ruike Ren, Hao Fu, Hanzhang Xue, Zhenping Sun, Kai Ding, Pengji Wang

“…High-precision 3D maps play an important role in autonomous driving. The current mapping system performs well in most circumstances. …”
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Benchmarking Deep Learning Models for Instance Segmentation by Sunguk Jung, Hyeonbeom Heo, Sangheon Park, Sung-Uk Jung, Kyungjae Lee

“…Instance segmentation has gained attention in various computer vision fields, such as autonomous driving, drone control, and sports analysis. …”
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PTA-Det: Point Transformer Associating Point Cloud and Image for 3D Object Detection by Rui Wan, Tianyun Zhao, Wei Zhao

“…In autonomous driving, 3D object detection based on multi-modal data has become an indispensable perceptual approach when facing complex environments around the vehicle. …”
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Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review by Shichen Fu, Zhenhua Yang, Yuan Ma, Zhenfeng Li, Le Xu, Huixing Zhou

“…Further, three safety warning and response schemes are proposed in light of the development of autonomous driving and intelligent cockpit technology. Finally, the paper summarizes the current state of research in the field, presents five conclusions, and discusses future trends.…”
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Street Scene understanding via Semantic Segmentation Using Deep Learning by Amani Noori, Shaimaa Shaker, Raghad A. Azeez

“…Image semantic segmentation is an important task for Autonomous driving and Mobile robotics applications because it introduces enormous information needed for safe navigation and complex reasoning. …”
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Improved Linear Quadratic Regulator Lateral Path Tracking Approach Based on a Real-Time Updated Algorithm with Fuzzy Control and Cosine Similarity for Autonomous Vehicles by Zhaoqiang Wang, Keyang Sun, Siqun Ma, Lingtao Sun, Wei Gao, Zhuangzhuang Dong

“…Path tracking plays a crucial role in autonomous driving. In order to ensure the real-time performance of the controller and at the same time improve the stability and adaptability of the path tracking controller, a lateral path control strategy based on the improved LQR algorithm is proposed in this paper. …”
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Automatic Extrinsic Calibration of 3D LIDAR and Multi-Cameras Based on Graph Optimization by Jinshun Ou, Panling Huang, Jun Zhou, Yifan Zhao, Lebin Lin

“…In recent years, multi-sensor fusion technology has made enormous progress in 3D reconstruction, surveying and mapping, autonomous driving, and other related fields, and extrinsic calibration is a necessary condition for multi-sensor fusion applications. …”
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Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors by Yuan-Kai Wang, Jonathan Guo, Tung-Ming Pan

“…Pedestrian detection and tracking are critical functions in the application of computer vision for autonomous driving in terms of accident avoidance and safety. …”
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AV PV-RCNN: Improving 3D Object Detection with Adaptive Deformation and VectorPool Aggregation by Shijie Guan, Chenyang Wan, Yueqiu Jiang

“…Three-dimensional object detection has attracted more and more attention from industry and academia due to its wide application in various fields such as autonomous driving and robotics. Currently, the refinement methods used by advanced two-stage detectors cannot fully adapt to different object scales, different point cloud densities, partial deformation and clutter, and excessive resource consumption. …”
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