A Dynamic Watermarking Technique for Matching Communication Addresses with Cars in a Visual Field

We consider a problem faced by an intelligent roadside unit (RSU) monitoring a roadway by a video camera. Suppose the RSU notices that a particular car in its visual field needs to execute a specific evasive maneuver to avoid danger. It would like to send a packet addressed to that particular car with this suggestion. The problem is that while all the cars are communicating with the RSU, the RSU does not know which car in the video is associated with what IP address. So, it does not know which IP address to send the packet to. Indeed, the problem of matching addresses with cars in the visual field is a fundamental open problem. We provide an active solution employing dynamic watermarking that was originally developed for the security of cyber-physical systems. This technique calls for a car to superpose a small random excitation onto its actuation commands for steering angle or throttle/brake positions. The car sends this random waveform to the RSU in a packet containing its IP address. By signal processing of the video stream of a car at the RSU it can verify whether it matches with the waveform in the packet and thereby associates that the IP address of the packet with that car in the visual field. The RSU thereby determines which IP address is associated with which car in its visual field. We present two demonstrations of performance. We demonstrate experimental results on a laboratory transportation automated vehicles, a vision system, and a network, as well as on the field with two passenger sedans in practice. The results demonstrate that employing the dynamic watermarking method enables an RSU to distinguish the communication of a target vehicle from that of other IP addresses of nearby vehicles.

Publication Details

Journal
ArXiv.org
Published
2025-10-13
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dynamic Watermarking Technique for Matching Communication Addresses with Cars in a Visual Field

ArXiv.org
Advanced Steganography and Watermarking Techniques
article

A Dynamic Watermarking Technique for Matching Communication Addresses with Cars in a Visual Field

article en

Abstract

We consider a problem faced by an intelligent roadside unit (RSU) monitoring a roadway by a video camera. Suppose the RSU notices that a particular car in its visual field needs to execute a specific evasive maneuver to avoid danger. It would like to send a packet addressed to that particular car with this suggestion. The problem is that while all the cars are communicating with the RSU, the RSU does not know which car in the video is associated with what IP address. So, it does not know which IP address to send the packet to. Indeed, the problem of matching addresses with cars in the visual field is a fundamental open problem. We provide an active solution employing dynamic watermarking that was originally developed for the security of cyber-physical systems. This technique calls for a car to superpose a small random excitation onto its actuation commands for steering angle or throttle/brake positions. The car sends this random waveform to the RSU in a packet containing its IP address. By signal processing of the video stream of a car at the RSU it can verify whether it matches with the waveform in the packet and thereby associates that the IP address of the packet with that car in the visual field. The RSU thereby determines which IP address is associated with which car in its visual field. We present two demonstrations of performance. We demonstrate experimental results on a laboratory transportation automated vehicles, a vision system, and a network, as well as on the field with two passenger sedans in practice. The results demonstrate that employing the dynamic watermarking method enables an RSU to distinguish the communication of a target vehicle from that of other IP addresses of nearby vehicles.

ArXiv.org
Sustainable cities and communities
Openalex Percentile: Top 44%
Advanced Steganography and Watermarking Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Dynamic Watermarking Technique for Matching Communication Addresses with Cars in a Visual Field · ArXiv.org (2025) | TGRS Research Map | TGRS