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公开(公告)号:US20190196481A1
公开(公告)日:2019-06-27
申请号:US16206453
申请日:2018-11-30
Applicant: drive.ai Inc.
Inventor: Kah Seng Tay , Joel Pazhayampallil , Brody Huval
CPC classification number: G05D1/0214 , G01S17/89 , G01S17/936 , G05D1/0088 , G05D1/0246 , G05D1/0289 , G05D2201/0213
Abstract: One variation of a method for autonomous navigation includes, at an autonomous vehicle: recording a first image via a first sensor and a second image via a second sensor during a scan cycle; calculating a first field of view of the first sensor and a second field of view of the second sensor during the scan cycle based on surfaces represented in the first and second images; characterizing a spatial redundancy between the first sensor and the second sensor based on an overlap of the first and second fields of view; in response to the spatial redundancy remaining below a threshold redundancy, disabling execution of a first navigational action—action informed by presence of external objects within a first region of a scene around the autonomous vehicle spanning the overlap—by the autonomous vehicle; and autonomously executing navigational actions, excluding the first navigational action, following the scan cycle.
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公开(公告)号:US20190137287A1
公开(公告)日:2019-05-09
申请号:US16020905
申请日:2018-06-27
Applicant: drive.ai Inc.
Inventor: Joel Pazhayampallil , Sameep Tandon
Abstract: One variation of a method for detecting and managing changes along road surfaces for autonomous vehicles includes: at approximately a first time, receiving a first discrepancy flag from a first vehicle via a wireless network, the first discrepancy flag indicating a first discrepancy between a particular feature detected proximal a first geospatial location at the first time by the first vehicle and a particular known immutable surface—proximal the first geospatial location—represented in a first localization map stored locally on the first vehicle; receiving sensor data, representing the first discrepancy, from the first vehicle at approximately the first time; updating a first segment of a global localization map representing immutable surfaces proximal the first geospatial location based on the sensor data; and identifying a second vehicle currently executing a second route intersecting the first geospatial location.
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