ADAS (Advanced Driver Assistant Systems) map data processing method, acquisition method, device and vehicle-mounted equipment

Abstract

The invention provides an ADAS (Advanced Driver Assistant Systems) map data processing method, an acquisition method, device and vehicle-mounted equipment. The acquisition method comprises steps: mapdata in a preset format and vehicle positioning information are acquired; according to the vehicle positioning information, standard map data in a preset format are read, and according to the road network relationship in the acquired map data, an ADAS road network in a certain range ahead of the current vehicle's road is reconstructed; key attribute data in the map data are acquired, and in combination of the ADAS road network, an ADAS message which can be recognized by a receiving object is generated and outputted. According to the ADAS map data processing method, the acquisition method, thedevice and the vehicle-mounted equipment, the ADAS accuracy is improved.

Description

technical field [0001] The present disclosure relates to the field of safe driving assistance technology, and in particular to a processing method, acquisition method, device and vehicle-mounted equipment of ADAS map data. Background technique [0002] Advanced Driver Assistant Systems (ADAS for short) is a technology that collects environmental data inside and outside the vehicle through various sensors installed on the vehicle, and performs identification, detection and tracking of static or dynamic objects. Processing, so that the driver can be aware of possible dangers in the shortest time, so as to improve driving safety. [0003] The existing ADAS collects environmental data inside and outside the vehicle in real time through various sensors to predict the environment in front of the vehicle. The sensors mainly include visual sensors, millimeter-wave radar sensors and laser radar sensors, etc., but the perception range of these sensors It is relatively short, the shor...

AI Technical Summary

Problems solved by technology

[0003] The existing ADAS collects environmental data inside and outside the vehicle in real time through various sensors to predict the environment in front of the vehicle. The sensors mainly include visual sensors, millimeter-wave radar sensors and laser radar sensors, etc., but the perception range of these sensors Relatively short, the shortest is only tens of meters, the longest is no more than 200 meters, and the environmental data collected inside and outside the car is easily affected by the weather environment, which makes the accuracy of ADAS not high

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