Smart Human-Centered Collision Prevention System for Bicycles

Thursday, April 12, 2018

About the Presentation

This presentation described the development of instrumentation and algorithms for a smart bicycle to track trajectories of nearby vehicles on the road and provide warnings to the motorist, if a potential car-bicycle collision is detected. The difficulties in the development of the system come from significant sensor cost and size constraints for a bicycle, and from the need to track highly complex collision scenarios. These challenges are addressed using inexpensive sensors coupled with active sensing approaches and nonlinear observers for vehicle tracking.

Analytical results, experimental data, and videos of the smart bicycle system’s performance were presented. In addition, the presentation described plans for a future six-month field operational test to evaluate the developed technology in the real world.

Webcast

About the Speaker

Rajesh Rajamani is a professor in the Department of Mechanical Engineering at the University of Minnesota. His research interests include sensors and estimation systems for transportation and other applications.