- 专利标题: OCCUPANCY MAP UPDATES BASED ON SENSOR DATA COLLECTED BY AUTONOMOUS VEHICLES
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申请号: US17079057申请日: 2020-10-23
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公开(公告)号: US20210254983A1公开(公告)日: 2021-08-19
- 发明人: Mark Damon Wheeler , Xiaqing Wu
- 申请人: DeepMap Inc.
- 申请人地址: US CA Palo Alto
- 专利权人: DeepMap Inc.
- 当前专利权人: DeepMap Inc.
- 当前专利权人地址: US CA Palo Alto
- 主分类号: G01C21/32
- IPC分类号: G01C21/32 ; G06F16/29 ; G06K9/00 ; G06K9/03 ; G06K9/62 ; H04L29/08 ; H04L29/14 ; G01C21/00 ; G01C21/36 ; G05D1/00 ; G06T17/05 ; B60W30/095 ; B60W40/02 ; G01C21/30 ; G05D1/02
摘要:
An online system builds a high definition (HD) map for a geographical region based on sensor data captured by a plurality of autonomous vehicles driving through a geographical region. The autonomous vehicles detect map discrepancies based on differences in the surroundings observed using sensor data compared to the high definition map and send messages describing these map discrepancies to the online system. The online system updates existing occupancy maps to improve the accuracy of the occupancy maps (OMaps), and to thereby improve passenger and pedestrian safety. While vehicles are in motion, they can continuously collect data about their surroundings. When new data is available from the various vehicles within a fleet, this can be updated in a local representation of the occupancy map and can be passed to the online HD map system (e.g., in the cloud) for updating the master occupancy map shared by all of the vehicles.
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