Computing systems for autonomous driving: State of the art and challenges
The recent proliferation of computing technologies (eg, sensors, computer vision, machine
learning, and hardware acceleration) and the broad deployment of communication …
learning, and hardware acceleration) and the broad deployment of communication …
High-definition maps: Comprehensive survey, challenges and future perspectives
G Elghazaly, R Frank, S Harvey… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …
can perceive, model, and analyze the surrounding environment, the more they become …
An edge-AI-enabled autonomous connected ambulance-route resource recommendation protocol (ACA-R3) for eHealth in smart cities
The autonomous connected ambulance (ACA) has been an unprecedented necessity in the
demand–supply management sector of the healthcare sector. However, the traditional …
demand–supply management sector of the healthcare sector. However, the traditional …
High definition 3D map creation using GNSS/IMU/LiDAR sensor integration to support autonomous vehicle navigation
Recent developments in sensor technologies such as Global Navigation Satellite Systems
(GNSS), Inertial Measurement Unit (IMU), Light Detection and Ranging (LiDAR), radar, and …
(GNSS), Inertial Measurement Unit (IMU), Light Detection and Ranging (LiDAR), radar, and …
Street view text recognition with deep learning for urban scene understanding in intelligent transportation systems
C Zhang, W Ding, G Peng, F Fu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Understanding the surrounding scenes is one of the fundamental tasks in intelligent
transportation systems (ITS), especially in unpredictable driving scenes or in developing …
transportation systems (ITS), especially in unpredictable driving scenes or in developing …
V2X-communication-aided autonomous driving: System design and experimental validation
In recent years, research concerning autonomous driving has gained momentum to
enhance road safety and traffic efficiency. Relevant concepts are being applied to the fields …
enhance road safety and traffic efficiency. Relevant concepts are being applied to the fields …
综合PNT 场景增强系统研究进展及发展趋势
张恒才， 蔚保国， 秘金钟， 潘树国， 陆锋 - 武汉大学学报(信息科学版), 2023 - ch.whu.edu.cn
定位导航授时(positioning navigation and timing, PNT) 是国家重要战略基础设施,
目前中国已经建立了完善的北斗天基增强系统, 地基增强系统, 低轨增强系统 …
目前中国已经建立了完善的北斗天基增强系统, 地基增强系统, 低轨增强系统 …
Lane information extraction for high definition maps using crowdsourced data
Lane information plays an important role in high-definition (HD) maps because it provides
invaluable road information for autonomous vehicles. The most widely used lane extraction …
invaluable road information for autonomous vehicles. The most widely used lane extraction …
Development and Prospects of High Definition Map for Intelligent Vehicle
Objectives The development of high definition (HD) map is of paramount importance in
advancing the digital infrastructure of transportation and serves as a fundamental …
advancing the digital infrastructure of transportation and serves as a fundamental …
Lane-level road network generation techniques for lane-level maps of autonomous vehicles: A survey
L Zheng, B Li, B Yang, H Song, Z Lu - Sustainability, 2019 - mdpi.com
Autonomous driving is experiencing rapid development. A lane-level map is essential for
autonomous driving, and a lane-level road network is a fundamental part of a lane-level …
autonomous driving, and a lane-level road network is a fundamental part of a lane-level …