Enabling Next-Generation V2X Perception: Wireless Rigid Body Localization and Tracking
Niclas F\"uhrling, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu,, David Gonz\'alez G., and Osvaldo Gonsa

TL;DR
This paper discusses the role of wireless rigid body localization in advancing V2X perception for autonomous driving, highlighting its benefits, challenges, and future research directions in 6G and B5G contexts.
Contribution
It provides a comprehensive overview of RBL technology, emphasizing its importance for next-generation V2X perception and standardization efforts.
Findings
RBL enables estimation of position, shape, and orientation of targets.
It offers benefits for autonomous driving and V2X communication.
Challenges include technical and standardization hurdles.
Abstract
Vehicle-to-everything (V2X) perception describes a suite of technologies used to enable vehicles to perceive their surroundings and communicate with various entities, such as other road users, infrastructure, or the network/cloud. With the development of autonomous driving, V2X perception is becoming increasingly relevant, as can be seen by the tremendous attention recently given to integrated sensing and communication (ISAC) technologies. In this context, rigid body localization (RBL) also emerges as one important technology which enables the estimation of not only target's positions, but also their shape and orientation. This article discusses the need for RBL, its benefits and opportunities, challenges and research directions, as well as its role in the standardization of the sixth-generation (6G) and beyond fifth generation (B5G) applications.
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Taxonomy
TopicsWireless Body Area Networks · Energy Harvesting in Wireless Networks · IoT and Edge/Fog Computing
MethodsSoftmax · Attention Is All You Need
