Waymo LLC patent applications on December 5th, 2024
Patent Applications by Waymo LLC on December 5th, 2024
Waymo LLC: 6 patent applications
Waymo LLC has applied for patents in the areas of B60W60/00 (3), G02B27/00 (1), G06V10/764 (1), G06V10/774 (1), G06N20/00 (1) B60W60/00253 (2), B60W60/00272 (1), G01S7/497 (1), G06F9/4881 (1), G06V10/774 (1)
With keywords such as: data, vehicle, autonomous, location, based, device, agents, information, involves, and identifying in patent application abstracts.
Patent Applications by Waymo LLC
Inventor(s): William Zhou of Mountain View CA (US) for waymo llc
IPC Code(s): B60W60/00, G01C21/00, G01C21/34
CPC Code(s): B60W60/00253
Abstract: the technology involves identifying suitable pickup and drop-off locations based on detected pedestrian walking paths. mapped areas have specific physical configurations, which may suggest places to pick up or drop off a rider (or a delivery). a walking path heatmap can be generated based on obtained historical and/or real-time pedestrian-related information, which can be obtained by autonomous vehicles driving in areas of interest. incorporating heatmap information into the evaluation, the system identifies locations for optimized pickup or drop-off in accordance with where pedestrians would likely go. one aspect involves classifying different objects, for instance identifying one or more objects as people who may be walking versus riding a bicycle. once classified, information about the paths is used to obtain a the heatmap associated with the walking paths.
20240400106. SEMANTIC IDENTIFICATION OF PICKUP LOCATIONS_simplified_abstract_(waymo llc)
Inventor(s): Ashwin Limaye of Sunnyvale CA (US) for waymo llc
IPC Code(s): B60W60/00, G06Q10/02, G06Q50/40, G06V10/44, G06V20/56, G08G1/123
CPC Code(s): B60W60/00253
Abstract: a control system for an autonomous vehicle is configured to pick up a passenger at a pickup location. the autonomous vehicle includes a self-driving system and one or more computing devices in communication with the self-driving system. the one or more computing devices are configured to receive a trip request including a pickup location and a destination location, the trip request being associated with a client device; cause the self-driving system to navigate the autonomous vehicle to the pickup location; send a prompt to the client device to collect semantic information; determine a specified location based on the semantic information received in response to the prompt; identify one or more semantic markers for the specified location from the semantic information; and send a message to the client device identifying the specified location using the one or more semantic markers.
20240400110. TRACKING VANISHED OBJECTS FOR AUTONOMOUS VEHICLES_simplified_abstract_(waymo llc)
Inventor(s): Luis Torres of San Francisco CA (US) for waymo llc, Brandon Luders of Sunnyvale CA (US) for waymo llc
IPC Code(s): B60W60/00, B60W50/00
CPC Code(s): B60W60/00272
Abstract: aspects of the disclosure relate to methods for controlling a vehicle having an autonomous driving mode. for instance, sensor data may be received from one or more sensors of the perception system of the vehicle, the sensor data identifying characteristics of an object perceived by the perception system. when it is determined that the object is no longer being perceived by the one or more sensors of the perception system, predicted characteristics for the object may be generated based on one or more of the identified characteristics. the predicted characteristics of the object may be used to control the vehicle in the autonomous driving mode such that the vehicle is able to respond to the object when it is determined that the object is no longer being perceived by the one or more sensors of the perception system.
20240402319. Methods and Systems for Detecting Sensor Occlusions_simplified_abstract_(waymo llc)
Inventor(s): Blaise Gassend of East Palo Alto CA (US) for waymo llc, Nicholas Armstrong-Crews of Mountain View CA (US) for waymo llc, Scott McCloskey of Mountain View CA (US) for waymo llc
IPC Code(s): G01S7/497, G01S7/481, G02B27/00
CPC Code(s): G01S7/497
Abstract: one example method involves rotating a housing of a light detection and ranging (lidar) device about a first axis. the housing includes a first optical window and a second optical window. the method also involves transmitting a first plurality of light pulses through the first optical window to obtain a first scan of a field-of-view (fov) of the lidar device. the method also involves transmitting a second plurality of light pulses through the second optical window to obtain a second scan of the fov. the method also involves identifying, based on the first scan and the second scan, a portion of the fov that is at least partially occluded by an occlusion.
20240403114. TASK SCHEDULING FOR AGENT PREDICTION_simplified_abstract_(waymo llc)
Inventor(s): Tacettin Dogacan Guney of San Jose CA (US) for waymo llc, Kai Ding of Santa Clara CA (US) for waymo llc, Olivier Gravel Aubin of Calgary (CA) for waymo llc
IPC Code(s): G06F9/48, B60K31/00, G06F9/38, G06F9/50, G06N5/00, G06N20/00
CPC Code(s): G06F9/4881
Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a task schedule for generating prediction data for different agents. in one aspect, a method comprises receiving data that characterizes an environment in a vicinity of a vehicle at a current time step, the environment comprising a plurality of agents; receiving data that identifies high-priority agents for which respective data characterizing the agents must be generated at the current time step; identifying available computing resources at the current time step; processing the data that characterizes the environment using a complexity scoring model to determine a respective complexity score for each of the high-priority agents; and determining a schedule for the current time step that allocates the generation of the data characterizing the high-priority agents across the available computing resources based on the complexity scores.
20240404256. END-TO-END TRAINABLE ADVANCED DRIVER-ASSISTANCE SYSTEMS_simplified_abstract_(waymo llc)
Inventor(s): Vasiliy Igorevich Karasev of San Francisco CA (US) for waymo llc, Thomas Deegan of San Francisco CA (US) for waymo llc, James W. Philbin of Palo Alto CA (US) for waymo llc
IPC Code(s): G06V10/774, G06V10/764, G06V20/58
CPC Code(s): G06V10/774
Abstract: the disclosed systems and techniques are directed to computationally efficient detection and tracking of objects in driving environments. the techniques include generating a set of auto-labeled training data using a first autonomous vehicle (av) system having multiple sensor modalities. the auto-labeled training data includes a first set of non-lidar data associated with the first av system, and one or more target predictions for the first set of non-lidar data, said predictions generated based at least on lidar data associated with the first av system. the techniques further include training, by the processing device and using the auto-labeled training data, an end-to-end perception model of a second av system lacking a lidar sensor to predict presence of one or more objects in a driving environment of the second av system.
