Deep learning for image and point cloud fusion in autonomous driving: A review
Autonomous vehicles were experiencing rapid development in the past few years. However,
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …
achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic …
HYDRO-3D: Hybrid object detection and tracking for cooperative perception using 3D LiDAR
3D-LiDAR-based cooperative perception has been generating significant interest for its
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …
ability to tackle challenges such as occlusion, sparse point clouds, and out-of-range issues …
Cloud control system architectures, technologies and applications on intelligent and connected vehicles: a review
W Chu, Q Wuniri, X Du, Q Xiong, T Huang… - Chinese Journal of …, 2021 - Springer
The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast
development of network, sensors, as well as computing technology, it becomes realizable to …
development of network, sensors, as well as computing technology, it becomes realizable to …
Deep neural network based vehicle and pedestrian detection for autonomous driving: A survey
Vehicle and pedestrian detection is one of the critical tasks in autonomous driving. Since
heterogeneous techniques have been proposed, the selection of a detection system with an …
heterogeneous techniques have been proposed, the selection of a detection system with an …
Performance and challenges of 3D object detection methods in complex scenes for autonomous driving
K Wang, T Zhou, X Li, F Ren - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …
essential for autonomous driving (AD) environment perception. While, until now, most of the …
Vehicle detection and tracking in adverse weather using a deep learning framework
M Hassaballah, MA Kenk… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Vehicle detection and tracking play an important role in autonomous vehicles and intelligent
transportation systems. Adverse weather conditions such as the presence of heavy snow …
transportation systems. Adverse weather conditions such as the presence of heavy snow …
Multi-modal 3d object detection in autonomous driving: a survey
The past decade has witnessed the rapid development of autonomous driving systems.
However, it remains a daunting task to achieve full autonomy, especially when it comes to …
However, it remains a daunting task to achieve full autonomy, especially when it comes to …
DAWN: vehicle detection in adverse weather nature dataset
MA Kenk, M Hassaballah - arXiv preprint arXiv:2008.05402, 2020 - arxiv.org
Recently, self-driving vehicles have been introduced with several automated features
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …
Lightweight single-image super-resolution network with attentive auxiliary feature learning
Despite convolutional network-based methods have boosted the performance of single
image super-resolution (SISR), the huge computation costs restrict their practical …
image super-resolution (SISR), the huge computation costs restrict their practical …
Gosmatch: Graph-of-semantics matching for detecting loop closures in 3d lidar data
Detecting loop closures in 3D Light Detection and Ranging (LiDAR) data is a challenging
task since point-level methods always suffer from instability. This paper presents a semantic …
task since point-level methods always suffer from instability. This paper presents a semantic …