Abstract
A system may identify lane lines (e.g., from sensor data) for autonomous vehicle control. The approach works by detecting individual lane line segments and identifying center lines that run along the length of each segment. By connecting these center lines, the system reconstructs complete lane lines. The identified lane lines then inform control operations for the machine. The sensor data may come from cameras, LIDAR, or RADAR. The system can be implemented in various forms, including systems-on-chip, autonomous vehicle control systems, or cloud-based platforms. The machine performing these operations may be autonomous or semi-autonomous, to perceive lane markings and navigate accordingly.
Full Text
What is claimed is:
A system may identify lane lines (e.g., from sensor data) for autonomous vehicle control. The approach works by detecting individual lane line segments and identifying center lines that run along the length of each segment. By connecting these center lines, the system reconstructs complete lane lines. The identified lane lines then inform control operations for the machine. The sensor data may come from cameras, LIDAR, or RADAR. The system can be implemented in various forms, including systems-on-chip, autonomous vehicle control systems, or cloud-based platforms. The machine performing these operations may be autonomous or semi-autonomous, to perceive lane markings and navigate accordingly.
Timeline
Filed
03/24/2026Published
07/16/2026Granted
Not AvailableIPC Codes(9)
G01C 21/36:Input/output arrangements for on-board computers
B60W 40/04:Traffic conditions
G01C 21/00:Navigation; Navigational instruments not provided for in groups (measuring distance traversed on the ground by a vehicle G01C 22/00; control of position, course, altitude or attitude of vehicles G05D 1/00; traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G 1/0968)