A novel collision avoidance system for bicycles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations


Crash statistics show that over 80% of motorist-bicycle crashes occur within 50 feet of traffic intersections. This paper focuses on the development of a collision avoidance system for bicycles for prediction and prevention of rear and side crashes at intersections. Cost, size and weight constraints highly limit the sensors and electronics that can be used on a bicycle and necessitate the development of new vehicle detection and tracking systems. Custom sonar and laser sensors and associated position estimation algorithms for tracking are developed. A custom sonar sensor with one sonar transmitter and two receivers is developed to estimate both the distance and angular orientation of vehicles on the sides of the bicycle. A custom single-target laser sensor on a rotating platform is developed to track longer distance vehicles. A model predictive control formulation is used to determine the real-time orientation of the rotating laser platform. Preliminary experimental data is presented to evaluate the performance of the side sonar system from a prototype instrumented bicycle. Simulation results are presented on the model predictive control for the rear vehicle tracking.

Original languageEnglish (US)
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467386821
StatePublished - Jul 28 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2016 American Control Conference, ACC 2016
Country/TerritoryUnited States


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