Road sign recognition

Abstract

Vehicles can be equipped with computing devices, networks, sensors and controllers to determine, modify, and/or augment a digital map of the surrounding real world. Computing devices included in a vehicle can determine road sign locations in LIDAR data. The computing devices can identify the road signs in one or more video images based on the road sign locations and include the road signs in the digital map based on the road sign identity and the road sign location.

Description

technical field [0001] The present disclosure relates generally to the field of vehicular driving, and more particularly, to road sign recognition in vehicular driving. Background technique [0002] Digital maps are now widely used for a variety of purposes, including monitoring traffic and road conditions, planning routes, locating landmarks such as retail stores, parks, etc., and / or the navigation of autonomous or semi-autonomous vehicles along routes based on information on the digital maps. Road signs can convey useful information about planned or potential vehicle routes, such as speed limits, stop signs, lane changes, and more. However, current digital maps are often outdated or incorrect, for example, because signs are not properly included on the digital map, signs have been posted or removed since the last update, etc., or underlying vehicle routes have not been Draw on a map to provide a digital map. Contents of the invention [0003] According to the present i...

AI Technical Summary

Problems solved by technology

However, current digital maps are often outdated or incorrect, for example, because signs are not properly included on the digital map, signs have been posted or removed since the last update, etc., or underlying vehicle routes have not been Draw on a map to provide a digital map

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