[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …
Lanelet2: A high-definition map framework for the future of automated driving
F Poggenhans, JH Pauls, J Janosovits… - 2018 21st …, 2018 - ieeexplore.ieee.org
Although accurate and comprehensive maps are indispensable for highly automated
driving, especially in complex urban scenarios, there are hardly any publications in which …
driving, especially in complex urban scenarios, there are hardly any publications in which …
[HTML][HTML] 智能高精地图数据逻辑结构与关键技术
刘经南， 詹骄， 郭迟， 李莹， 吴杭彬， 黄鹤 - 2019 - html.rhhz.net
以车辆自动驾驶, 无人驾驶为研究对象, 讨论定义了智能高精地图, 认为智能高精地图作为未来
出行的关键一环, 是交通资源全时空实时感知的载体和交通工具全过程运行管控的依据 …
出行的关键一环, 是交通资源全时空实时感知的载体和交通工具全过程运行管控的依据 …
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 …
Reliable task offloading for vehicular fog computing under information asymmetry and information uncertainty
Vehicular fog computing has emerged as a cost-efficient solution for task processing in
vehicular networks. However, how to realize effective server recruitment and reliable task …
vehicular networks. However, how to realize effective server recruitment and reliable task …
Dynamic path planning for unmanned vehicles based on fuzzy logic and improved ant colony optimization
Q Song, Q Zhao, S Wang, Q Liu, X Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Technical advancement has propelled the proliferation of unmanned vehicles. Out of the
multiple paths between origin (O) and destination (D), the optimal OD path should be …
multiple paths between origin (O) and destination (D), the optimal OD path should be …
A large-scale multiple-objective method for black-box attack against object detection
Recent studies have shown that detectors based on deep models are vulnerable to
adversarial examples, even in the black-box scenario where the attacker cannot access the …
adversarial examples, even in the black-box scenario where the attacker cannot access the …
Stereo obstacle detection for unmanned surface vehicles by IMU-assisted semantic segmentation
A new obstacle detection algorithm for unmanned surface vehicles (USVs) is presented. A
state-of-the-art graphical model for semantic segmentation is extended to incorporate boat …
state-of-the-art graphical model for semantic segmentation is extended to incorporate boat …
Privacy and integrity considerations in hyperconnected autonomous vehicles
S Karnouskos, F Kerschbaum - Proceedings of the IEEE, 2017 - ieeexplore.ieee.org
The rapid advances in technology can be witnessed in the emergence of cyber-physical
systems that pertain to several domains of our society. In transportation, we see the …
systems that pertain to several domains of our society. In transportation, we see the …
Time-dependent performance analysis of the 802.11 p-based platooning communications under disturbance
Platooning is a critical technology to realize autonomous driving. Each vehicle in platoons
adopts the IEEE 802.11 p standard to exchange information through communications to …
adopts the IEEE 802.11 p standard to exchange information through communications to …