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Enabling Next-Generation V2X Perception: Wireless Rigid Body Localization and Tracking

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arxiv 2408.00349 v1 pith:CJ7G43JO submitted 2024-08-01 eess.SP

Niclas Führling , Hyeon Seok Rou , Giuseppe Thadeu Freitas de Abreu , David González G. , Osvaldo Gonsa This is my paper · ORCID
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keywords perceptionbodylocalizationrigidtechnologiesapplicationsarticleattention
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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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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. SMDS-based Rigid Body Localization

    eess.SP 2025-09 conditional novelty 5.0 of 10

    A super multidimensional scaling variant estimates a rigid body's translation and rotation from distance and angle measurements using only a subset of the edge kernel.

  2. Egoistic MDS-based Rigid Body Localization

    cs.RO 2025-01 reject novelty 5.0 of 10

    The paper proposes an egoistic, anchorless rigid body localization method, but the translation estimate is unidentifiable and the Nyström completion is invalid for raw distance matrices.

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