Crossing the Road Without Traffic Lights: An Android-Based Safety Device

Adi Perry, Dor Verbin, Nahum Kiryati*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


In the absence of pedestrian crossing lights, finding a safe moment to cross the road is often hazardous and challenging, especially for people with visual impairments. We present a reliable low-cost solution, an Android device attached to a traffic sign or lighting pole near the crossing, indicating whether it is safe to cross the road. The indication can be by sound, display, vibration, and various communication modalities provided by the Android device. The integral system camera is aimed at approaching traffic. Optical flow is computed from the incoming video stream, and projected onto an influx map, automatically acquired during a brief training period. The crossing safety is determined based on a 1-dimensional temporal signal derived from the projection. We implemented the complete system on a Samsung Galaxy K-zoom Android smartphone, and obtained real-time operation. Promising experimental results provide pedestrians with sufficiently early warning of approaching vehicles. The system can serve as a stand-alone safety device, that can be installed where pedestrian crossing lights are ruled out. Requiring no dedicated infrastructure, it can be powered by a solar panel and remotely maintained via the cellular network.

Original languageEnglish
Title of host publicationImage Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings
EditorsSebastiano Battiato, Giovanni Gallo, Filippo Stanco, Raimondo Schettini
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783319685472
StatePublished - 2017
Event19th International Conference on Image Analysis and Processing, ICIAP 2017 - Catania, Italy
Duration: 11 Sep 201715 Sep 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10485 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th International Conference on Image Analysis and Processing, ICIAP 2017


  • Android device
  • Blind and visually impaired
  • Optical flow
  • Pedestrian crossing
  • Resource-limited computer vision
  • Traffic analysis


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