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Vehicle-to-Infrastructure (V2I) collaborative perception leverages data collected by infrastructure's sensors to enhance vehicle perceptual capabilities. LiDAR, as a commonly used sensor in cooperative perception, is widely equipped in…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Xinxin Feng , Haoran Sun , Haifeng Zheng

Vehicle-to-everything (V2X) communication is expected to be a prominent component of the sixth generation (6G) to accomplish intelligent transportation systems (ITS). Autonomous vehicles relying only on onboard sensors cannot bypass the…

Signal Processing · Electrical Eng. & Systems 2023-02-02 Ali Krayani , Gabriele Barabino , Lucio Marcenaro , Carlo Regazzoni

Vehicle-to-everything (V2X) communication is a key technology for enabling intelligent transportation systems (ITS) that can improve road safety, traffic efficiency, and environmental sustainability. Among the various V2X applications,…

Signal Processing · Electrical Eng. & Systems 2025-09-12 Thomas Fehrenbach , Luis Omar Ortiz Abrego , Cornelius Hellge , Thomas Schierl , Jörg Ott

The increasing adoption of human-robot interaction presents opportunities for technology to positively impact lives, particularly those with visual impairments, through applications such as guide-dog-like assistive robotics. We present a…

Robotics · Computer Science 2024-08-27 Adam Scicluna , Cedric Le Gentil , Sheila Sutjipto , Gavin Paul

Cooperative perception enabled by Vehicle-to-Everything (V2X) communication enhances autonomous driving safety by creating a unified environmental representation through shared sensory data. While recent works have advanced multi-agent…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Abhishek Dinkar Jagtap , Sanath Tiptur Sadashivaiah , Andreas Festag

V2X cooperation, through the integration of sensor data from both vehicles and infrastructure, is considered a pivotal approach to advancing autonomous driving technology. Current research primarily focuses on enhancing perception accuracy,…

Computer Vision and Pattern Recognition · Computer Science 2024-05-08 Zhiwei Li , Bozhen Zhang , Lei Yang , Tianyu Shen , Nuo Xu , Ruosen Hao , Weiting Li , Tao Yan , Huaping Liu

Accurate prediction of communication link quality metrics is essential for vehicle-to-infrastructure (V2I) systems, enabling smooth handovers, efficient beam management, and reliable low-latency communication. The increasing availability of…

Machine Learning · Computer Science 2025-09-05 Kimia Ehsani , Walid Saad

The recent surge in interest in autonomous driving stems from its rapidly developing capacity to enhance safety, efficiency, and convenience. A pivotal aspect of autonomous driving technology is its perceptual systems, where core algorithms…

Computer Vision and Pattern Recognition · Computer Science 2023-11-02 Qi Zhang , Siyuan Gou , Wenbin Li

Ultra-reliable low-latency Vehicle-to-Everything (V2X) communications are needed to meet the extreme requirements of enhanced driving applications. Millimeter-Wave (24.25-52.6 GHz) or sub-THz (>100 GHz) V2X communications are a viable…

Signal Processing · Electrical Eng. & Systems 2021-04-09 Dario Tagliaferri , Mattia Brambilla , Monica Nicoli , Umberto Spagnolini

The huge research interest in cellular vehicle-to-everything (C-V2X) communications in recent days is attributed to their ability to schedule multiple access more efficiently as compared to its predecessor technology, i.e., dedicated…

Networking and Internet Architecture · Computer Science 2021-01-27 Seungmo Kim , Byung-Jun Kim , B. Brian Park

Intelligent transportation systems and autonomous vehicles are expected to bring new experiences with enhanced efficiency and safety to road users in the near future. However, an efficient and robust vehicular communication system should…

Signal Processing · Electrical Eng. & Systems 2021-06-07 Lin Chia-Hung , Lin Shih-Chun , Wang Chien-Yuan , Chase Thomas

Visible light communication (VLC) is nowadays envisaged as a promising technology to enable new classes of services in intelligent transportation systems ranging, e.g., from assisted driving to autonomous vehicles. The assessment of the…

Signal Processing · Electrical Eng. & Systems 2020-04-03 Stefano Caputo , Lorenzo Mucchi , Francesco Saverio Cataliotti , Marco Seminara , Tassadaq Nawaz , Jacopo Catani

Twenty-two years after the advent of the first-generation vehicular network, i.e., dedicated short-range communications (DSRC) standard/IEEE 802.11p, the vehicular technology market has become very competitive with a new player, Cellular…

Networking and Internet Architecture · Computer Science 2022-09-07 Van-Linh Nguyen , Ren-Hung Hwang , Po-Ching Lin , Abhishek Vyas , Van-Tao Nguyen

Autonomous driving (AD) has achieved significant progress, yet single-vehicle perception remains constrained by sensing range and occlusions. Vehicle-to-Everything (V2X) communication addresses these limits by enabling collaboration across…

Artificial Intelligence · Computer Science 2025-10-06 Xuewen Luo , Fengze Yang , Fan Ding , Xiangbo Gao , Shuo Xing , Yang Zhou , Zhengzhong Tu , Chenxi Liu

We consider a robust and self-reliant (or "egoistic") variation of the rigid body localization (RBL) problem, in which a primary rigid body seeks to estimate the pose (i.e., location and orientation) of another rigid body (or "target"),…

Signal Processing · Electrical Eng. & Systems 2026-01-07 Niclas Führling , Giuseppe Thadeu Freitas de Abreu , David González G. , Osvaldo Gonsa

Accurate vehicle localization is a crucial step towards building effective Vehicle-to-Vehicle networks and automotive applications. Yet standard grade GPS data, such as that provided by mobile phones, is often noisy and exhibits significant…

Computer Vision and Pattern Recognition · Computer Science 2019-05-10 Eli Brosh , Matan Friedmann , Ilan Kadar , Lev Yitzhak Lavy , Elad Levi , Shmuel Rippa , Yair Lempert , Bruno Fernandez-Ruiz , Roei Herzig , Trevor Darrell

LiDAR-based Vehicle-to-Everything (V2X) cooperative perception has demonstrated its impact on the safety and effectiveness of autonomous driving. Since current cooperative perception algorithms are trained and tested on the same dataset,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-20 Baolu Li , Zongzhe Xu , Jinlong Li , Xinyu Liu , Jianwu Fang , Xiaopeng Li , Hongkai Yu

Decentralized vehicle-to-everything (V2X) networks (i.e., C-V2X Mode-4 and NR-V2X Mode-2) utilize sensing-based semi-persistent scheduling (SPS) where vehicles sense and reserve suitable radio resources for Basic Safety Message (BSM)…

Information Theory · Computer Science 2023-07-25 Avik Dayal , Vijay K. Shah , Harpreet S. Dhillon , Jeffrey H. Reed

5G Vehicle-to-Everything (V2X) is a new technology developed by 3GPP to support inter-vehicle communication. In contrast to 4G V2X which allows only broadcast communication, 5G V2X enables groupcast and unicast communication. Such types of…

Networking and Internet Architecture · Computer Science 2025-10-21 Dmitry Bankov , Artem Krasilov , Artem Otmakhov , Pavel Savlukovich , Evgeny Khorov

In object recognition, both the subject of interest (referred to as foreground, FG, for simplicity) and its surrounding context (background, BG) may play an important role. However, standard supervised learning often leads to unintended…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Klara Janouskova , Cristian Gavrus , Jiri Matas