US 12,434,736 B2
High definition map abnormality inference and corresponding driving method, device and mobility apparatus
Kyoung Hwan An, Daejeon (KR)
Assigned to ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed by ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, Daejeon (KR)
Filed on Nov. 10, 2022, as Appl. No. 17/984,470.
Claims priority of application No. 10-2021-0173573 (KR), filed on Dec. 7, 2021; and application No. 10-2022-0134230 (KR), filed on Oct. 18, 2022.
Prior Publication US 2023/0174102 A1, Jun. 8, 2023
Int. Cl. B60W 60/00 (2020.01); G01C 21/34 (2006.01)
CPC B60W 60/0011 (2020.02) [G01C 21/3415 (2013.01)] 13 Claims
OG exemplary drawing
 
1. A high definition map abnormality inference and corresponding driving method comprising: determining an abnormality of a high definition map applied to a mobility apparatus based on at least one of road information or surrounding object information recognized in driving of the mobility apparatus; determining whether exceptional object information recognized on a road is present, wherein the exceptional object information comprises information related to an object for temporarily changing the road condition; determining a road condition to be a temporary change situation which is not accompanied by replacement of the high definition map and determining a first driving control process of the mobility apparatus corresponding to the temporary change situation, when the abnormality of the high definition map and the exceptional object information are present; determining the road condition to be a permanent change situation and determining a second driving control process of the mobility apparatus corresponding to the permanent change situation, when the abnormality of the high definition map is present and the exceptional object information is not present, and controlling the mobility apparatus to operate a steering wheel, an engine, a brake and a gear of the mobility apparatus according to the determined the first driving control process or the second driving control process; wherein, when autonomous driving of the mobility apparatus is maintained, the determining of the first driving control process comprises: checking driving situation information of the mobility apparatus based on the exceptional object information in the road condition; and determining whether an unstructured local route and operation control of the mobility apparatus are settable based on the driving situation information; wherein controlling the mobility apparatus according to the determined first driving control process comprises: in response to the unstructured local route and operation control being settable, performing control such that the mobility apparatus is autonomously driven according to the unstructured local route and operation control: and in response to the unstructured local route and operation control being not settable, controlling the mobility apparatus to a minimum risk level to stop at a slow velocity, wherein the determining of the second driving control process comprises, determining whether a lane obtained by the road information is recognizable, wherein controlling the mobility apparatus according to the determined second driving control process comprises: in response to the lane being recognized controlling the mobility apparatus to follow the lane: and in response to the lane being not recognized, controlling the mobility apparatus to the minimum risk level to stop at a slow velocity, and wherein the unstructured local route is a local route set based on actual road information and surrounding object information regardless of road information of the high definition map.