Emergency image delivery over I2V vehicular ad-hoc network

Mfon Okpok; Billy Kihei

doi:10.1117/12.2669737

14 June 2023 Emergency image delivery over I2V vehicular ad-hoc network

Mfon Okpok, Billy Kihei

Proceedings Volume 12549, Unmanned Systems Technology XXV; 125490Q (2023) https://doi.org/10.1117/12.2669737
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Conference Poster

Abstract

A conflict of interest exists between alerting the public over cellular communications and ensuring drivers operate vehicles hands-free. Active shooters, criminal pursuits, and kidnappings on our roadways can create dangerous conditions that may lead to fatalities and serious injuries. Thus, sharing suspected criminal images within future vehicular ad-hoc networks may improve transportation safety and help authorities crowdsource feedback for apprehending criminals. We present a novel system allowing broadcasting images of suspected criminals and related vehicle information into the vehicular adhoc network as a public emergency notification system for the population on the road. Image-based public safety messages broadcast from the infrastructure-to-vehicle (I2V) link into the vehicular ad-hoc network on the roadways. Similar studies show issues with bandwidth limitations of the I2V link and ensuring a high packet reception rate (PPR) for vehicle density in multimedia messages. In this work, we transmit images instead of video to mitigate network challenges and increase packet reception probability. We successfully transmit images within the Dedicated Short-Range Communication (DSRC) vehicular ad-hoc network. The results show that the vehicular ad-hoc network can receive traveler information messages with large image payloads even at high vehicle densities. In addition, the proposed system does not negatively affect the PPR of the existing vehicular ad-hoc network.

Citation Download Citation

Mfon Okpok and Billy Kihei "Emergency image delivery over I2V vehicular ad-hoc network", Proc. SPIE 12549, Unmanned Systems Technology XXV, 125490Q (14 June 2023); https://doi.org/10.1117/12.2669737

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