CycleGuard: A Smartphone-based Assistive Tool for Cyclist Safety Using Acoustic Ranging
Wenqiang Jin, Srinivasan Murali, YoungTak Cho, Huadi Zhu, Tianhao Li, Rachael Thompson Panik, Anika Rimu, Shuchisnigdha Deb, Kari E. Watkins, Xu Yuan, Ming Li
Abstract
Every year 41,000 cyclists die in road traffic-related incidents worldwide [47]. One of the most startling and infuriating conflicts that cyclists experience is the so-called "right hook". It refers to a vehicle striking a cyclist heading in the same direction by turning right into the cyclist. To prevent such a crash, this work presents CycleGuard, an acoustic-based collision detection system using smartphones. It is composed of a cheap commercial off-the-shelf (COTS) portable speaker that emits imperceptible high-frequency acoustic signals and a smartphone for reflected signal reception and analysis. Since received acoustic signals bear rich information of their reflecting objects, CycleGuard applies advanced acoustic ranging techniques to extract those information for traffic analysis. Cyclists are alerted if any pending right hook crashes are detected. Real-time alerts ensure that cyclists have sufficient time to react, apply brakes, and eventually avoid the hazard. To validate the efficacy of CycleGuard, we implement a proof-of-concept prototype and carry out extensive in-field experiments under a broad spectrum of settings. Results show that CycleGuard achieves up to 95% accuracy in preventing right hook crashes and is robust to various scenarios. It is also energy-friendly to run on battery-powered smartphones.
- The work was done when the author was a Ph.D. student at The University of Texas at Arlington.
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Cited by top-tier papers2
- ExpresSense: Exploring a Standalone Smartphone to Sense Engagement of Users from Facial Expressions Using Acoustic SensingPragma Kar, Shyamvanshikumar Singh, Avijit Mandal, Samiran Chattopadhyay et al.CHI 2023 · 7 citations
- ProxiCycle: Passively Mapping Cyclist Safety Using Smart Handlebars for Near-Miss DetectionJoseph Breda, Keyu Chen, Thomas Plötz, Shwetak N. PatelCHI 2025 · 4 citations
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