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arxiv: 2604.20489 · v1 · submitted 2026-04-22 · 💻 cs.NI

Assessing the Challenges of Collective Perception via V2I Communications in High-Speed Scenarios with Open Road Testing

Pith reviewed 2026-05-09 23:36 UTC · model grok-4.3

classification 💻 cs.NI
keywords collective perceptionV2I communicationsITS-G5latency bottleneckshighway testingobject detectioninfrastructure-assistedopen road evaluation
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The pith

Infrastructure-assisted collective perception extends highway object detection range but is limited by detection processing and asynchronous message timing.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper evaluates an infrastructure-assisted collective perception system deployed on a winding highway using ITS-G5 communications through open-road testing. It measures end-to-end latency by isolating delays from each component and uses an independent sensor setup to establish ground truth for perception accuracy. The evaluation finds that object detection and the asynchronous sending of collective perception messages form the main latency sources. Aligning message transmission with local perception updates reduces those delays by up to 33 percent. Onboard vehicle sensors alone fail to detect objects reliably beyond 50 meters, even though communication ranges reach much farther, showing the practical value of infrastructure sharing in high-speed settings.

Core claim

Open-road tests in the Bizkaia Connected Corridor reveal that object detection and asynchronous transmission of collective perception messages are the primary latency bottlenecks in the infrastructure-assisted collective perception system. Synchronizing the transmission of these messages with local perception processing reduces end-to-end delays by up to 33 percent. Onboard perception systems struggle to detect objects beyond 50 meters, whereas ITS-G5 communication ranges significantly exceed this limit, underscoring the role of collective perception for highway safety.

What carries the argument

End-to-end V2X latency breakdown across system components paired with independent sensor ground truth annotation to isolate perception errors beyond detection models.

If this is right

  • Synchronizing collective perception message transmission with local perception processing can lower overall system delays in high-speed conditions.
  • Infrastructure sharing becomes necessary on highways because onboard detection ranges fall short of communication capabilities.
  • System designs should target faster object detection and better timing alignment to improve responsiveness.
  • The identified bottlenecks provide concrete targets for optimizing future cooperative mobility deployments.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Edge-based detection acceleration or predictive scheduling of messages could address the latency sources left after synchronization.
  • Repeating the evaluation on straight roads or under varied weather would test whether road curvature affects the measured ranges and delays.
  • Combining collective perception with other V2X message types might compound the latency savings observed here.

Load-bearing premise

The open-road tests in the Bizkaia Connected Corridor with its specific winding highway and traffic represent general high-speed scenarios, and the independent sensor setup fully captures all non-detection errors such as synchronization and calibration.

What would settle it

A replication test in a straight high-speed highway setting where synchronizing collective perception messages produces no measurable latency reduction or where onboard detection reliably identifies objects past 50 meters would contradict the reported bottlenecks.

Figures

Figures reproduced from arXiv: 2604.20489 by Andoni Mujika, Gorka Velez, Iker Alkorta, Itziar Urbieta, Jon Ander I\~niguez de Gordoa.

Figure 1
Figure 1. Figure 1: ICP architecture used in this study. making this drive ideal for testing heterogeneous highway conditions. At the time of the experiments, the RSUs were not equipped with infrastructure-based perception sensors and therefore did not generate CPMs based on local sensing. The RSUs receive V2X messages, such as CPM, from the connected vehicles operating within the coverage area of the roadside infrastructure.… view at source ↗
Figure 2
Figure 2. Figure 2: Images captured during open road testing. [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Block diagram summarizing the entire data flow used [PITH_FULL_IMAGE:figures/full_fig_p008_3.png] view at source ↗
Figure 5
Figure 5. Figure 5: Distribution of the number of detected and ground truth [PITH_FULL_IMAGE:figures/full_fig_p010_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Heatmap of the accumulation of detected objects around [PITH_FULL_IMAGE:figures/full_fig_p011_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: 3D object detection metrics as a function of distance to the [PITH_FULL_IMAGE:figures/full_fig_p012_7.png] view at source ↗
read the original abstract

This paper presents a comprehensive end-to-end evaluation of an infrastructure-assisted collective perception (ICP) system deployed on a highway using ITS-G5 technology. Open-road tests were conducted in the Bizkaia Connected Corridor (BCC), an operational corridor which covers a winding highway, enabling a realistic assessment of system performance in diverse traffic scenarios. The evaluation included three main aspects: (1) end-to-end Vehicle-to-Everything (V2X) communication latency, with a breakdown of delays introduced by each system component; (2) the effective range of ITS-G5 communications between vehicles and infrastructure; and (3) the perception system, using an independent sensor setup for ground truth annotation to account for errors beyond the detection model, such as synchronization, localization, and calibration inaccuracies. The results reveal that object detection and asynchronous transmission of collective perception messages (CPMs) are major latency bottlenecks, with results showing that synchronizing CPM transmission with local perception can reduce delays by up to 33%. Additionally, onboard perception struggles with detecting objects beyond 50 meters, highlighting the importance of collective perception in highway environments, where communication ranges significantly exceed detection limits. The findings provide valuable insights to optimize ICP deployments, supporting safer and more efficient cooperative mobility systems.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. The manuscript reports on open-road experiments evaluating an infrastructure-assisted collective perception system using ITS-G5 V2I communications in the Bizkaia Connected Corridor. It provides a breakdown of end-to-end latency, measures the effective communication range, and evaluates perception performance against independent sensor ground truth that accounts for synchronization, localization, and calibration errors. The results identify object detection and asynchronous CPM transmission as major latency bottlenecks and show that synchronizing CPM transmission with local perception can reduce delays by up to 33%. Onboard perception is found to be limited to 50 meters, while communication ranges are significantly larger.

Significance. This empirical study contributes valuable real-world measurements from an operational highway testbed to the field of cooperative intelligent transportation systems. The independent ground truth approach strengthens the validity of the perception and latency assessments. If the findings are representative, they offer actionable insights for optimizing collective perception deployments to improve safety and efficiency in high-speed vehicular environments by addressing specific bottlenecks.

minor comments (2)
  1. The abstract and results would be strengthened by reporting the number of experimental trials, vehicles, and objects observed, along with measures of statistical significance or variability for the 33% latency reduction and 50 m detection range claims.
  2. A brief discussion of how the specific conditions of the winding highway in the Bizkaia Connected Corridor may or may not generalize to other high-speed scenarios would help contextualize the findings on communication range and perception limits.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive evaluation of the manuscript, the recognition of its empirical contributions from the Bizkaia Connected Corridor testbed, and the recommendation for minor revision. No specific major comments were provided in the report.

Circularity Check

0 steps flagged

No circularity: purely empirical measurement study

full rationale

The paper conducts open-road tests and reports direct latency breakdowns, communication ranges, and perception accuracies from the Bizkaia Connected Corridor. No equations, fitted models, predictions, or derivations are present that could reduce to inputs by construction. Results are observations against independent ground truth sensors; no self-citations, ansatzes, or uniqueness claims appear in the abstract or described content. The study is self-contained as measurement, with no load-bearing logical steps that qualify under the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper is an empirical evaluation study with no mathematical derivations or new models; the central claims rest on the assumption that the chosen test corridor and sensor setup are representative and accurate.

axioms (1)
  • domain assumption The Bizkaia Connected Corridor with its winding highway and traffic conditions is representative of general high-speed scenarios for collective perception evaluation.
    Findings on latency bottlenecks and detection limits are generalized from tests in this specific operational corridor.

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