Details

Autor(en) / Beteiligte

• Vu, Anh
• Yang, Qichi
• Farrell, Jay A.
• Barth, Matthew

Titel

Traffic sign detection, state estimation, and identification using onboard sensors

Ist Teil von

• 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013, p.875-880

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• Traffic signs along the roadways are used to convey important information about the road and the environment to drivers, pedestrians, and possibly many Intelligent Transportation System (ITS) applications. A map of traffic signs provides a priori information to ITS applications, allowing the information to be used in a wide variety of detection, positioning, and vehicle control applications. In this research, a probe vehicle with onboard sensors is utilized to survey traffic signs along the roadways of a test site. A sensor platform equipped with GPS/IMU, 3D LIDAR, and a vision sensor is employed in a traffic sign detection, state estimation, and identification framework to map the state of traffic signs and to identify them from a list of known traffic sign templates. Data collected from the test site is used to test the proposed framework. The mapped traffic signs are verified using the carrier-phase Differential Global Positioning System (DGPS) surveyed locations of the sign posts to show that the errors are in the centimeter to decimeter levels.