@inproceedings{448d4e3eff094372b9952c7dccd39468,
title = "eDashA: edge-based dash cam video analytics",
abstract = "While the real-time analysis of dash cam video is of great practical importance for improving road safety, commercial dash cams lack the resources necessary to perform such video analytics. It is impractical to use clouds for this due to high latency and high bandwidth consumption. In this paper, we present eDashA, the first edge-based system that demonstrates the potential of near real-time video analytics using a network of mobile devices, on the move. In particular, it simultaneously processes videos produced by two dash cams of different angles (outward facing and inward facing dash cams) with one or more mobile devices on the move. Further, we devise several optimization techniques and incorporated them into eDashA. These techniques are simultaneous download and analysis, scheduling, segmentation and early stopping. We have implemented eDashA as an Android app and evaluated it using two dash cams and several heterogeneous smartphones. Experiment results show the feasibility of real-time video analytics on the move.",
author = "Jayden King and Lee, {Young Choon}",
year = "2023",
doi = "10.1109/EDGE60047.2023.00040",
language = "English",
isbn = "9798350304848",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "204--206",
editor = "Claudio Ardagna and Feras Awaysheh and Hongyi Bian and Chang, {Carl K.} and Chang, {Rong N.} and Flavia Delicato and Nirmit Desai and Jing Fan and Fox, {Geoffrey C.} and Andrzej Goscinski and Zhi Jin and Anna Kobusi{\'n}ska and Omer Rana",
booktitle = "2023 IEEE International Conference On Edge Computing and Communications IEEE EDGE 2023",
address = "United States",
note = "7th IEEE International Conference on Edge Computing and Communications, EDGE 2023 ; Conference date: 02-07-2023 Through 08-07-2023",
}