发明名称 FUSED RAISED PAVEMENT MARKER DETECTION FOR AUTONOMOUS DRIVING USING LIDAR AND CAMERA
摘要 An in-vehicle system for estimating a lane boundary based on raised pavement markers that mark the boundary. The in-vehicle system includes a camera for obtaining image data regarding reflective raised pavement markers and non-reflective raised pavement markers, an image processor for processing frames of image data captured by the camera, a lidar detector for obtaining lidar data regarding reflective raised pavement markers, and a lidar processor for processing frames of lidar data captured by the lidar detector. The image processor generates a first probabilistic model for the lane boundary and the lidar processor generates a second probabilistic model for the lane boundary. The in-vehicle system fuses the first probabilistic model and the second probabilistic model to generate a fused probabilistic model and estimates the lane boundary based on the fused probabilistic model.
申请公布号 US2016180177(A1) 申请公布日期 2016.06.23
申请号 US201414580287 申请日期 2014.12.23
申请人 VOLKSWAGEN AG 发明人 NGUYEN Tuan Tran;LIPINSKI Daniel;SPEHR Jens
分类号 G06K9/00;G06T7/00;G06K9/46;G06K9/52 主分类号 G06K9/00
代理机构 代理人
主权项 1. An in-vehicle system for estimating a lane boundary formed of raised pavement markers disposed on a roadway, the system comprising: a camera for obtaining image data regarding reflective raised pavement markers and non-reflective raised pavement markers; an image processor for processing frames of image data captured by the camera and generating a first probabilistic model for the lane boundary; a lidar detector for obtaining lidar data regarding reflective raised pavement markers; a lidar processor for processing frames of lidar data captured by the lidar detector and generating a second probabilistic model for the lane boundary; and means for fusing the first probabilistic model and the second probabilistic model to generate a fused probabilistic model and for estimating the lane boundary based on the fused probabilistic model.
地址 Wolfsburg DE