公开(公告)号：US20250110230A1

公开(公告)日：2025-04-03

申请号：US18479376

申请日：2023-10-02

Applicant: Waymo LLC

Inventor： Joshua Max Manela ,  Nicholas Lloyd Armstrong-Crews ,  Matthew Evan Thrasher

IPC: G01S13/58 ,  G01S7/41 ,  G01S13/89 ,  G01S13/931

Abstract: Example embodiments relate techniques and systems for generating multi-axis radar velocity images using stereo radar. A vehicle radar system receives radar first radar data from a first radar and second radar data from a second radar, which are coupled at different locations on a vehicle traveling in an environment. The system determines a first radial speed and a second radial speed for an object based on the first and second radar data, respectively, and then estimates a velocity vector for the object relative to the vehicle based on the first and second radial speeds. The system can provide the estimated velocity vector as an input into a neural network and enable vehicle systems to control the vehicle based on the output from the neural network.

公开(公告)号：US20240326846A1

公开(公告)日：2024-10-03

申请号：US18192431

申请日：2023-03-29

Applicant: Waymo LLC

Inventor： Matthew Evan Thrasher ,  Andre Manfred Strobel ,  Clayton Bryce Jorgensen

IPC: B60W50/04 ,  B60W40/02 ,  B60W60/00

CPC classification number: B60W50/04 ,  B60W40/02 ,  B60W60/0015 ,  B60W2050/0075 ,  B60W2420/408 ,  B60W2510/244

Abstract: Example embodiments relate to techniques for modifying power consumption of an autonomy system. For instance, a vehicle autonomy system may use sensor data from vehicle sensors to determine information about the surrounding environment and estimate one or more conditions expected for a threshold duration during subsequent navigation of the path by the vehicle. The autonomy system can then adjust operation of one or more of its components (sensors, compute cores, actuators) based on the one or more conditions expected for the threshold duration and power consumption data corresponding to the components. The vehicle can then be controlled based on subsequent sensor data obtained after adjusting operation of the components of the autonomy system thereby increasing the efficiency of the autonomy system in accordance with the vehicle's surrounding environment.