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公开(公告)号:US12099124B1
公开(公告)日:2024-09-24
申请号:US18459213
申请日:2023-08-31
申请人: PlusAI, Inc.
IPC分类号: G01S17/931 , B60R11/00 , B60R11/04 , G01S7/481
CPC分类号: G01S17/931 , B60R11/04 , G01S7/4813 , B60R2011/004
摘要: An integrated sensor assembly is described. The integrated sensor assembly can include a housing comprising a compartment. The housing can be arranged on a side surface of a cabin of an autonomous vehicle and within a threshold distance of a cabin roof of the autonomous vehicle. The assembly can include a first sensor arranged in the compartment, the first sensor configured to receive a first signal from a vehicle computer and collect information for mapping an environment of the autonomous vehicle. The assembly can include a light source arranged in the compartment. The light source configured to receive a second signal from the vehicle computer and emit a light pattern for visually indicating one of a hazard, a turn, or an autonomous mode. The light source can be arranged in the compartment to emit light to traffic toward a rear of the autonomous vehicle.
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公开(公告)号:US12092480B2
公开(公告)日:2024-09-17
申请号:US18086990
申请日:2022-12-22
申请人: PlusAI, Inc.
发明人: Mianwei Zhou , Yibo Chen
CPC分类号: G01C21/3889 , B60W40/02 , G01C21/3833 , G01C21/3837 , G01C21/3893 , G01C21/3896 , B60W2556/50
摘要: In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.
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公开(公告)号:US20240300411A1
公开(公告)日:2024-09-12
申请号:US18666592
申请日:2024-05-16
申请人: PlusAI, Inc.
发明人: Ankur AGARWAL
IPC分类号: B60Q7/02 , B64C39/02 , B64D47/00 , B64U80/86 , B64U101/30 , G08G1/0955 , G08G1/16
CPC分类号: B60Q7/02 , B64C39/024 , B64D47/00 , G08G1/0955 , G08G1/166 , B64U80/86 , B64U2101/30
摘要: In some embodiments, an apparatus, comprises an unmanned vehicle configured to be disposed with a vehicle and a processor operatively coupled to the unmanned vehicle. The processor is configured to receive a first signal indicating a stop of the vehicle without a user request and a second signal indicating a location of the vehicle. The processor is configured to determine, based on the location of the vehicle, a target location in a pre-defined area surrounding the vehicle. The processor is configured to send a third signal to the unmanned vehicle to instruct the unmanned vehicle to move to the target location to alert other vehicles via a warning regarding occurrence of the stop.
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公开(公告)号:US20240286642A1
公开(公告)日:2024-08-29
申请号:US18113453
申请日:2023-02-23
申请人: PlusAI, Inc.
CPC分类号: B60W60/0015 , B60W40/04 , B60W2554/4026 , B60W2554/4049 , B60W2554/801
摘要: Methods, systems, and non-transitory computer readable media are configured to perform operations comprising receiving sensor data from at least one sensor on an ego vehicle; detecting a lane-splitting vehicle approaching the ego vehicle from behind the ego vehicle based on the sensor data; and responsive to detecting the lane-splitting vehicle approaching the ego vehicle from behind the ego vehicle, controlling the ego vehicle to move laterally away from a path of the lane-splitting vehicle.
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公开(公告)号:US12039445B2
公开(公告)日:2024-07-16
申请号:US18077022
申请日:2022-12-07
申请人: PlusAI, Inc.
IPC分类号: G06N20/00 , B60W30/00 , G05D1/00 , G06F18/21 , G06F18/25 , G06N3/08 , G06N3/092 , G06N3/098 , G06N5/02 , G06N7/01 , G06V10/774 , G06V10/776 , G06V10/80 , G06V20/56 , G06V20/58
CPC分类号: G06N3/08 , B60W30/00 , G05D1/0088 , G05D1/0274 , G05D1/0287 , G06F18/217 , G06F18/251 , G06N3/092 , G06N3/098 , G06N5/02 , G06N7/01 , G06N20/00 , G06V10/774 , G06V10/776 , G06V10/803 , G06V20/56 , G06V20/58
摘要: The present teaching relates to method, system, medium, and implementation of in-situ perception in an autonomous driving vehicle. A plurality of types of sensor data are acquired continuously via a plurality of types of sensors deployed on the vehicle, where the plurality of types of sensor data provide information about surrounding of the vehicle. One or more items surrounding the vehicle are tracked, based on some models, from a first of the plurality of types of sensor data from a first type of the plurality of types of sensors. A second of the plurality of types of sensor data are obtained from a second type of the plurality of sensors and are used to generate validation base data. Some of the one or more items are labeled, automatically, via validation base data to generate labeled at least some item, which is to be used to generate model updated information for updating the at least one model.
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公开(公告)号:US20240190474A1
公开(公告)日:2024-06-13
申请号:US18202125
申请日:2023-05-25
申请人: PlusAI, Inc.
发明人: I-Hsuan Yang , Yu Wang
IPC分类号: B60W60/00
CPC分类号: B60W60/0027 , B60W2420/42 , B60W2420/52 , B60W2554/40
摘要: This application is directed to predicting vehicle actions according to a hierarchy of interconnected vehicle actions. The hierarchy of interconnected vehicle actions includes a plurality of predefined vehicle actions that are organized to define a plurality of vehicle action sequences. A first vehicle obtains one or more images of a road and a second vehicle, and predicts a sequence of vehicle actions of the second vehicle through the hierarchy of interconnected vehicle actions using the one or more images. The first vehicle is controlled to drive at least partially autonomously based on the predicted sequence of vehicle actions of the second vehicle. In some embodiments, the hierarchy of interconnected vehicle actions includes a first action level that is defined according to a stage of a trip and corresponds to three predefined vehicle actions of: “start a trip,” “move in a trip,” and “complete a trip.”
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公开(公告)号:US11987172B1
公开(公告)日:2024-05-21
申请号:US18099181
申请日:2023-01-19
申请人: PlusAI, Inc.
发明人: Robert Joseph Dingli , Chaozhe He
IPC分类号: B60Q1/14 , B60W60/00 , F21S41/663
CPC分类号: B60Q1/1423 , B60W60/005 , F21S41/663 , B60W2554/4026 , B60W2554/4029 , B60W2556/40
摘要: Methods, systems, and non-transitory computer readable media are configured to perform operations comprising determining a plurality of predetermined situations in which lighting operation of an ego vehicle should automatically transition; determining occurrence of a predetermined situation of the plurality of predetermined situations; and causing an automatic transition in lighting operation of the ego vehicle.
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公开(公告)号:US20240061126A1
公开(公告)日:2024-02-22
申请号:US18386238
申请日:2023-11-01
申请人: PlusAI, Inc.
发明人: Ankur Agarwal
IPC分类号: G01S17/931 , B60W30/095 , G01C25/00 , G05D1/00 , G06V10/147 , G06V20/56 , G08G1/16
CPC分类号: G01S17/931 , B60W30/0956 , G01C25/005 , G05D1/0088 , G06V10/147 , G06V20/56 , G08G1/166 , G08G1/167 , G05D2201/0213
摘要: The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed thereon to facilitate autonomous driving needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor to a center. The request includes at least a first position of the ego vehicle on the route and a first configuration of the sensor with respect to the ego vehicle. When the ego vehicle receives a calibration assistant package, which includes information associated with a collaborative means present along the route and to be used to assist the ego vehicle to calibrate the sensor, it identifies, based on the information, the collaborative means along the route when the ego vehicle is in a vicinity of the collaborative means in order to capture a target present on the collaborative means to enable calibration of the sensor.
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公开(公告)号:US11906623B1
公开(公告)日:2024-02-20
申请号:US18159546
申请日:2023-01-25
申请人: PlusAI, Inc.
IPC分类号: G01S17/00 , G01S17/58 , G01S7/4865 , G01S17/931
CPC分类号: G01S17/58 , G01S7/4865 , G01S17/931
摘要: Techniques are described for determining whether to process a job request. An example, method can include a device emitting a first pulse using a light detection and ranging (LIDAR) system coupled to an autonomous vehicle. The device can receive a first signal reflected off of an object. The device can emit a second pulse using the system, a threshold time interval being configured for the second laser pulse to hit the object in motion. The device can receive a second signal reflected off of the object. The device can determine a first time of flight information of the first signal and a second time of flight information of the second signal. The device can determine a velocity of the object based at least in part on the first time of flight information and the second time of flight information.
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公开(公告)号:US11790551B2
公开(公告)日:2023-10-17
申请号:US17868476
申请日:2022-07-19
申请人: PlusAI, Inc.
IPC分类号: G05D1/02 , G06T7/593 , G05D1/00 , G06T7/521 , G06V20/58 , G06V20/64 , G06F18/25 , G06V10/774 , G06V10/80
CPC分类号: G06T7/593 , G05D1/0088 , G05D1/0236 , G05D1/0257 , G05D1/0293 , G06F18/251 , G06T7/521 , G06V10/774 , G06V10/803 , G06V20/58 , G06V20/64 , G06T2207/10021 , G06T2207/20004 , G06T2207/20076 , G06T2207/30252
摘要: The present teaching relates to a method, system, medium, and implementation of processing image data in an autonomous driving vehicle. Sensor data acquired by one or more types of sensors deployed on the vehicle are continuously received. The sensor data provide different information about surrounding of the vehicle. Based on a first data set acquired by a first sensor of a first type of the one or more types of sensors at a specific time, an object is detected, where the first data set provides a first type of information about the surrounding of the vehicle. Depth information of the object is then estimated via object centric stereo at object level based on the object detected as well as a second data set acquired by a second sensor of the first type of the one or more types of sensors at the specific time. The second data set provides the first type of information about the surrounding of the vehicle with a different perspective as compared with the first data set.
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