Convergent communication, sensing and localization in 6G systems: An overview of technologies, opportunities and challenges

C De Lima, D Belot, R Berkvens, A Bourdoux… - IEEE …, 2021 - ieeexplore.ieee.org
Herein, we focus on convergent 6G communication, localization and sensing systems by
identifying key technology enablers, discussing their underlying challenges, implementation …

A survey of maritime unmanned search system: Theory, applications and future directions

J Li, G Zhang, C Jiang, W Zhang - Ocean Engineering, 2023 - Elsevier
The rising frequency of ocean activities, such as ocean transportation and marine resources
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …

Sensing and machine learning for automotive perception: A review

A Pandharipande, CH Cheng, J Dauwels… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Automotive perception involves understanding the external driving environment and the
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …

6G white paper on localization and sensing

A Bourdoux, AN Barreto, B van Liempd… - arxiv preprint arxiv …, 2020 - arxiv.org
This white paper explores future localization and sensing opportunities for beyond 5G
wireless communication systems by identifying key technology enablers and discussing …

Complexer-yolo: Real-time 3d object detection and tracking on semantic point clouds

M Simon, K Amende, A Kraus… - Proceedings of the …, 2019 - openaccess.thecvf.com
Accurate detection of 3D objects is a fundamental problem in computer vision and has an
enormous impact on autonomous cars, augmented/virtual reality and many applications in …

[HTML][HTML] Automated driving recognition technologies for adverse weather conditions

K Yoneda, N Suganuma, R Yanase, M Aldibaja - IATSS research, 2019 - Elsevier
During automated driving in urban areas, decisions must be made while recognizing the
surrounding environment using sensors such as camera, Light Detection and Ranging …

CNN based road user detection using the 3D radar cube

A Palffy, J Dong, JFP Kooij… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
This letter presents a novel radar based, single-frame, multi-class detection method for
moving road users (pedestrian, cyclist, car), which utilizes low-level radar cube data. The …

Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data

J Qu, RW Liu, Y Guo, Y Lu, J Su, P Li - Ocean Engineering, 2023 - Elsevier
To guarantee vessel traffic safety in inland waterways, the automatic identification system
(AIS) and shore-based cameras have been widely adopted to monitor moving vessels. The …

A survey of recent advances in particle filters and remaining challenges for multitarget tracking

X Wang, T Li, S Sun, JM Corchado - Sensors, 2017 - mdpi.com
We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

Scalable detection and tracking of geometric extended objects

F Meyer, JL Williams - IEEE Transactions on Signal Processing, 2021 - ieeexplore.ieee.org
Multiobject tracking provides situational awareness that enables new applications for
modern convenience, public safety, and homeland security. This paper presents a factor …