US 10,891,497 B2
Traffic boundary mapping
Jonathan Albert Cox, Imperial Beach, CA (US); Veeresh Taranalli, San Diego, CA (US); David Jonathan Julian, San Diego, CA (US); Badugu Naveen Chakravarthy, Bengaluru (IN); Michael Campos, La Jolla, CA (US); Adam David Kahn, San Diego, CA (US); Venkata Ramanan Venkatachalam Jayaraman, San Diego, CA (US); and Arvind Yedla, San Diego, CA (US)
Assigned to NETRADYNE, INC., San Diego, CA (US)
Appl. No. 16/608,516
Filed by NETRADYNE, INC., San Diego, CA (US)
PCT Filed Mar. 22, 2019, PCT No. PCT/US2019/023766
§ 371(c)(1), (2) Date Oct. 25, 2019,
PCT Pub. No. WO2019/183609, PCT Pub. Date Sep. 26, 2019.
Claims priority of provisional application 62/647,526, filed on Mar. 23, 2018.
Prior Publication US 2020/0380270 A1, Dec. 3, 2020
Int. Cl. G06K 9/66 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01)
CPC G06K 9/00798 (2013.01) [G06K 9/6256 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A system, comprising
a memory; and
a processor coupled to the memory, wherein the processor is configured to:
receive a first visual data at a first time from a camera coupled to a vehicle;
identify a traffic boundary within the first visual data;
determine a location of the vehicle within a map at the first time;
determine a location of the traffic boundary within the map, based at least in part on the location of the traffic boundary within the first visual data and the location of the vehicle at the first time;
select a first one or more cells of an occupancy grid based at least in part on the determined location of the traffic boundary, wherein a plane of the occupancy grid corresponds to a plane of a road; and
increment a value of the first one or more cells.