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公开(公告)号:USD1001654S1
公开(公告)日:2023-10-17
申请号:US29818347
申请日:2021-12-08
Applicant: Waymo LLC
Designer: YooJung Ahn , Jerry Chen , Toshihiro Fujimura , Jinseok Hwang , Joshua Newby , Zhaokun Wang
Abstract: FIG. 1 is a top, front, left perspective view of a first embodiment of the claimed design for a sensor assembly;
FIG. 2 is a front view thereof;
FIG. 3 is a back view thereof;
FIG. 4 is a right side view thereof;
FIG. 5 is a left side view thereof;
FIG. 6 is a top view thereof;
FIG. 7 is a bottom view thereof;
FIG. 8 is a top, front, left perspective view of a second embodiment of the claimed design for a sensor assembly;
FIG. 9 is a front view thereof;
FIG. 10 is a back view thereof;
FIG. 11 is a right side view thereof;
FIG. 12 is a left side view thereof;
FIG. 13 is a top view thereof;
FIG. 14 is a bottom view thereof;
FIG. 15 is a top, front, left perspective view of a third embodiment of the claimed design for a sensor assembly;
FIG. 16 is a front view thereof;
FIG. 17 is a back view thereof;
FIG. 18 is a right side view thereof;
FIG. 19 is a left side view thereof;
FIG. 20 is a top view thereof;
FIG. 21 is a bottom view thereof;
FIG. 22 is a top, front, left perspective view of a fourth embodiment of the claimed design for a sensor assembly;
FIG. 23 is a front view thereof;
FIG. 24 is a back view thereof;
FIG. 25 is a right side view thereof;
FIG. 26 is a left side view thereof;
FIG. 27 is a top view thereof;
FIG. 28 is a bottom view thereof;
FIG. 29 is a top, front, left perspective view of a fifth embodiment of the claimed design for a sensor assembly;
FIG. 30 is a front view thereof;
FIG. 31 is a back view thereof;
FIG. 32 is a right side view thereof;
FIG. 33 is a left side view thereof;
FIG. 34 is a top view thereof;
FIG. 35 is a bottom view thereof;
FIG. 36 is a top, front, left perspective view of a sixth embodiment of the claimed design for a sensor assembly;
FIG. 37 is a front view thereof;
FIG. 38 is a back view thereof;
FIG. 39 is a right side view thereof;
FIG. 40 is a left side view thereof;
FIG. 41 is a top view thereof;
FIG. 42 is a bottom view thereof;
FIG. 43 is a top, front, left perspective view of a seventh embodiment of the claimed design for a sensor assembly;
FIG. 44 is a front view thereof;
FIG. 45 is a back view thereof;
FIG. 46 is a right side view thereof;
FIG. 47 is a left side view thereof;
FIG. 48 is a top view thereof;
FIG. 49 is a bottom view thereof;
FIG. 50 is a top, front, left perspective view of an eighth embodiment of the claimed design for a sensor assembly;
FIG. 51 is a front view thereof;
FIG. 52 is a back view thereof;
FIG. 53 is a right side view thereof;
FIG. 54 is a left side view thereof;
FIG. 55 is a top view thereof;
FIG. 56 is a bottom view thereof; and,
FIG. 57 is a left side view of a ninth embodiment of the claimed design for a sensor assembly showing indeterminate length, wherein the remaining orthographic views of the ninth embodiment are otherwise identical to the corresponding orthographic views in the first, second, third, fourth, fifth, sixth, seventh, and/or eighth embodiments.
The broken lines showing the remainder of the sensor assembly depict environmental structure and form no part of the claimed design. The bracket and break line indicia, and distance between the break lines, in FIG. 57 represent indeterminate length and form no part of the claimed design.-
公开(公告)号:US20230315107A1
公开(公告)日:2023-10-05
申请号:US18130392
申请日:2023-04-03
Applicant: Waymo LLC
Inventor: William Grossman , Peter Strohm
CPC classification number: G05D1/0217 , B60W60/0021 , B60W2520/10 , B60W2554/40 , B60W2720/10 , B60W2720/12 , B60W2555/60 , B60W2520/12
Abstract: A method includes identifying route data including a threshold arrival time for a route for an autonomous vehicle (AV) and calculating, based on the route data and a fuel-efficient speed value for each segment of the route, an estimated arrival time. Responsive to the estimated arrival time not meeting the threshold arrival time, the method includes identifying at least a subset of segments that each represent a candidate for speed increase, computing, for each segment in the subset and based on the fuel economy data, a correlation metric that indicates a correlation between a change in fuel economy and a change in speed for a corresponding segment in the subset, and increasing, for at least one segment from the subset and based on a respective correlation metric, a fuel-efficient speed value of the corresponding segment from the subset to provide a speed profile reflecting the increased fuel-efficient speed value.
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173.
公开(公告)号:US11774590B2
公开(公告)日:2023-10-03
申请号:US16989509
申请日:2020-08-10
Applicant: Waymo LLC
Inventor: Mark Alexander Shand
IPC: G01S17/10 , G01S7/483 , G01S17/89 , G01S7/4865 , G01S17/42 , G01S7/484 , G01S17/931
CPC classification number: G01S17/10 , G01S7/483 , G01S7/484 , G01S7/4865 , G01S17/42 , G01S17/89 , G01S17/931
Abstract: A computing system may operate a LIDAR device to emit light pulses in accordance with a time sequence including a time-varying dither. The system may then determine that the LIDAR detected return light pulses during corresponding detection periods for each of two or more emitted light pulses. Responsively, the system may determine that the detected return light pulses have (i) detection times relative to corresponding emission times of a plurality of first emitted light pulses that are indicative of a first set of ranges and (ii) detection times relative to corresponding emission times of a plurality of second emitted light pulses that are indicative of a second set of ranges. Given this, the system may select between using the first set of ranges as a basis for object detection and using the second set of ranges as a basis for object detection, and may then engage in object detection accordingly.
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公开(公告)号:US20230298301A1
公开(公告)日:2023-09-21
申请号:US18201546
申请日:2023-05-24
Applicant: Waymo LLC
Inventor: David Yonchar Margines , Carlos Hernandez Esteban , Michael Montemerlo , Peter Pawlowski , Colin Andrew Braley
CPC classification number: G06V10/25 , G06T7/90 , B60W60/001 , G06V20/58 , G06V10/751 , B60W2420/42 , G06T2207/30261 , B60W2554/802 , B60W2420/52
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to generate long range localization. One of the methods includes obtaining, for a particular location of a vehicle having a camera and a detection sensor, surfel data including a plurality of surfels. Each surfel in the surfel data has a respective location and corresponds to a different respective detected surface in an environment. Image data captured by the camera is obtained. It is determined that a region of interest for detecting objects for a vehicle planning process is outside a detectable region for the detection sensor. In response, it is determined that the image data for the region of interest matches surfel color data for the surfels corresponding to the region of interest. In response, the vehicle planning process is performed with the region of interest designated as having no unexpected objects.
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公开(公告)号:US20230294687A1
公开(公告)日:2023-09-21
申请号:US18169105
申请日:2023-02-14
Applicant: Waymo LLC
Inventor: James Philbin , Vasiliy Igorevich Karasev , Alper Ayvaci , Marc Wimmershoff , Dragomir Dimitrov Anguelov
IPC: B60W30/095 , G05B13/02
CPC classification number: B60W30/0956 , G05B13/027 , B60W2420/42 , B60W2420/52 , B60W2554/4044 , B60W2555/60 , B60W2556/40
Abstract: The described aspects and implementations enable efficient object detection and tracking. In one implementation, disclosed is a method and a system to perform the method, the system including the sensing system configured to obtain sensing data characterizing an environment of the vehicle. The system further includes a data processing system operatively coupled to the sensing system and configured to process the sensing data using a first (second) set of neural network (NN) layers to obtain a first (second) set of features for a first (second) region of the environment, the first (second) set of features is associated with a first (second) spatial resolution. The data processing system is further to process the two sets of features using a second set of NN layers to detect a location of obj ect(s) in the environment of the vehicle and a state of motion of the object(s).
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公开(公告)号:US11761769B2
公开(公告)日:2023-09-19
申请号:US17708477
申请日:2022-03-30
Applicant: Waymo LLC
Inventor: Samuel Panzer , Michael Montemerlo , Michael James
CPC classification number: G01C21/30 , B60W60/001 , G01S13/89 , G05D1/0274 , B60W2555/20
Abstract: Aspects of the disclosure provide for localizing a vehicle. In one instance, a weather condition in which the vehicle is currently driving may be identified. A plurality of sensor inputs including intensity information, elevation information, and radar sensor information may be received. For each of the plurality of sensor inputs, an alignment score is determined by comparing the intensity information, elevation information, and radar sensor information to a corresponding pre-stored image for each of the intensity information, the elevation information, and the radar sensor information. A set of weights for the plurality of sensor inputs may be determined based on the identified weather condition. The alignment scores may then be combined using the set of weights in order to localize the vehicle.
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177.
公开(公告)号:US11760361B2
公开(公告)日:2023-09-19
申请号:US16898528
申请日:2020-06-11
Applicant: WAYMO LLC
Inventor: Menghui Wang , Aleksandar Gabrovski , Xiaoyi Liu , Wesley Heung , Yang-Hua Chu
CPC classification number: B60W40/09 , B60W60/0025 , G06F11/3476 , G06F30/20
Abstract: The disclosure relates to running simulations in order to test software used to control a vehicle in an autonomous driving mode. For instance, logged data may be identified for a simulation. The logged data may have been collected by a first vehicle and may identifying an agent that is a road user. The logged data may be analyzed to identify one or more signals of intent of the agent including a logged path of the agent. One or more characteristics may be identified based on the one or more signals. The simulation may be run using the logged data by replacing the agent with an interactive agent having the one or more characteristics. The interactive agent may be capable of responding to actions performed by a simulated vehicle in the simulation using software for controlling a vehicle in an autonomous driving mode.
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公开(公告)号:US20230281866A1
公开(公告)日:2023-09-07
申请号:US18091901
申请日:2022-12-30
Applicant: Waymo LLC
IPC: G06T7/73 , B60W60/00 , G06T17/20 , G06T15/08 , G06T17/05 , G06V20/56 , G06F18/2415 , G06V30/18 , G06V10/80 , G06V20/58
CPC classification number: G06T7/74 , B60W60/001 , G06T17/20 , G06T15/08 , G06T17/05 , G06V20/56 , G06F18/24155 , G06V30/18143 , G06V10/806 , G06V20/58
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using a surfel map to generate a prediction for a state of an environment. One of the methods includes obtaining surfel data comprising a plurality of surfels, wherein each surfel corresponds to a respective different location in an environment, and each surfel has associated data that comprises an uncertainty measure; obtaining sensor data for one or more locations in the environment, the sensor data having been captured by one or more sensors of a first vehicle; determining one or more particular surfels corresponding to respective locations of the obtained sensor data; and combining the surfel data and the sensor data to generate a respective object prediction for each of the one or more locations of the obtained sensor data.
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公开(公告)号:US11749114B1
公开(公告)日:2023-09-05
申请号:US17336350
申请日:2021-06-02
Applicant: Waymo LLC
Inventor: Min Li Chan , Philip Nemec , Brian Douglas Cullinane , Julien Mercay , Peter Crandall
CPC classification number: G08G1/166 , B60K35/00 , G01C21/36 , G01C21/3697 , G06V20/58 , G08G1/015 , G08G1/017 , G08G1/04 , G08G1/0962 , B60K2370/152 , B60K2370/16 , B60K2370/166 , B60K2370/175 , B60K2370/179 , B60K2370/193 , B60K2370/48 , B60K2370/52
Abstract: Aspects of the present disclosure relate to a vehicle for maneuvering an occupant of the vehicle to a destination autonomously as well as providing information about the vehicle and the vehicle's environment for display to the occupant.
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公开(公告)号:US11747809B1
公开(公告)日:2023-09-05
申请号:US17387199
申请日:2021-07-28
Applicant: WAYMO LLC
Inventor: Jiajun Zhu , Christopher Paul Urmson , Dirk Haehnel , Nathaniel Fairfield , Russell Leigh Smith
IPC: G06K9/00 , G05D1/00 , G06T7/521 , G06T7/73 , B60T8/17 , B60T8/00 , B60T7/22 , B60T17/22 , B60W50/14 , B60T17/18 , B60T8/88 , B60W40/06 , G01S17/86 , G01S17/931 , G05D1/02 , G06Q10/02 , G06Q30/02 , G06Q30/0207 , G06Q40/08 , G07C9/00 , B60W30/08 , G01C21/36 , B60R1/00 , G06T7/20 , G06T7/231 , G06T7/223 , G06V20/58 , G06V20/64 , B60W50/029 , B60W30/186 , G01S13/86 , B62D6/00 , G06V10/20 , G06V20/56
CPC classification number: G05D1/0088 , B60R1/00 , B60T7/22 , B60T8/00 , B60T8/17 , B60T8/885 , B60T17/18 , B60T17/221 , B60W30/08 , B60W40/06 , B60W50/14 , G01C21/3617 , G01S17/86 , G01S17/931 , G05D1/0055 , G05D1/021 , G05D1/0212 , G05D1/0214 , G05D1/0276 , G06Q10/02 , G06Q30/02 , G06Q30/0207 , G06Q40/08 , G06T7/20 , G06T7/223 , G06T7/231 , G06T7/521 , G06T7/74 , G06V20/58 , G06V20/64 , G07C9/00563 , B60R2300/30 , B60T2201/022 , B60T2210/32 , B60T2270/406 , B60W30/186 , B60W2050/0292 , B60W2420/42 , B60W2420/52 , B60W2552/05 , B60W2555/60 , B60W2556/10 , B60W2556/50 , B62D6/00 , G01S13/865 , G01S13/867 , G05B2219/2637 , G05D1/024 , G05D1/0246 , G05D1/0257 , G05D1/0274 , G05D1/0278 , G05D2201/0213 , G06T2207/10004 , G06T2207/10028 , G06T2207/30236 , G06T2207/30252 , G06T2207/30261 , G06V10/255 , G06V20/56 , G06V20/588
Abstract: A method and apparatus are provided for optimizing one or more object detection parameters used by an autonomous vehicle to detect objects in images. The autonomous vehicle may capture the images using one or more sensors. The autonomous vehicle may then determine object labels and their corresponding object label parameters for the detected objects. The captured images and the object label parameters may be communicated to an object identification server. The object identification server may request that one or more reviewers identify objects in the captured images. The object identification server may then compare the identification of objects by reviewers with the identification of objects by the autonomous vehicle. Depending on the results of the comparison, the object identification server may recommend or perform the optimization of one or more of the object detection parameters.
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