AutoCone: An OmniDirectional Robot for Lane-Level Cone Placement Conference Paper uri icon

abstract

  • This paper summarizes the progress in developing a rugged, low-cost, automated ground cone robot network capable of traffic delineation at lane-level precision. A holonomic omnidirectional base with a traffic delineator was developed to allow flexibility in initialization. RTK GPS was utilized to reduce minimum position error to 2 centimeters. Due to recent developments, the cost of the platform is now less than $1,600. To minimize the effects of GPS-denied environments, wheel encoders and an Extended Kalman Filter were implemented to maintain lane-level accuracy during operation and a maximum error of 1.97 meters through 50 meters with little to no GPS signal. Future work includes increasing the operational speed of the platforms, incorporating lanelet information for path planning, and cross-platform estimation.

name of conference

  • 2020 IEEE Intelligent Vehicles Symposium (IV)

published proceedings

  • 2020 IEEE Intelligent Vehicles Symposium (IV)

author list (cited authors)

  • Hartzer, J., & Saripalli, S.

citation count

  • 0

complete list of authors

  • Hartzer, Jacob||Saripalli, Srikanth

publication date

  • November 2020