US 11,900,691 B2
Method for evaluating sensor data, including expanded object recognition
Dominik Maucher, Stuttgart (DE); and Heinz Hertlein, Erlenbach (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Appl. No. 17/265,437
Filed by Robert Bosch GmbH, Stuttgart (DE)
PCT Filed Sep. 2, 2019, PCT No. PCT/EP2019/073316
§ 371(c)(1), (2) Date Feb. 2, 2021,
PCT Pub. No. WO2020/048909, PCT Pub. Date Mar. 12, 2020.
Claims priority of application No. 102018214959.3 (DE), filed on Sep. 4, 2018.
Prior Publication US 2021/0303879 A1, Sep. 30, 2021
Int. Cl. G06V 20/58 (2022.01); G06F 18/25 (2023.01); G06N 20/00 (2019.01); G06T 7/529 (2017.01); G06V 20/56 (2022.01)
CPC G06V 20/584 (2022.01) [G06F 18/253 (2023.01); G06N 20/00 (2019.01); G06T 7/529 (2017.01); G06V 20/58 (2022.01); G06V 20/588 (2022.01); G06V 2201/07 (2022.01)] 8 Claims
OG exemplary drawing
 
1. A method for evaluating sensor data on a road, the method comprising:
ascertaining sensor data by scanning a surrounding area, using at least one sensor;
based on the sensor data, carrying out object detection for determining objects from the sensor data;
carrying out object filtering; and
identifying surface characteristics of at least one object, and/or the surface characteristics of the at least one object are ascertained by using access to a database;
wherein the road has lanes which are set apart from one another by a roadway divider having specular characteristics, and
wherein at least one phantom object in the sensor data is removed or a position thereof is corrected based on the ascertained surface characteristics of the at least one object by triangulation.