Waymo LLC

Yuchi Wang

Michael R James

Robert J Chen

Derrick Dominic

Caner Onal

Michael Marx

Jingyuan Linda Zhang

Kanika Sachdev

Example embodiments relate to differential methods for determining environment estimation, lidar impairment detection, and filtering. An example embodiment includes dividing a plurality of lidar device channels into a first group and a second group and interleaving the channels. The embodiment includes applying a threshold to the first group. The embodiment further includes emitting light pulses from a lidar device into an environment surrounding the lidar device, and detecting return light pulses. The return light pulses in the first group of channels are sampled from the signals that exceed the threshold. The embodiment may further include determining a differential in a statistical distribution between the return light pulses in the first group and the return light pulses in the second group. Based on the differential, the method can include detecting an atmospheric scattering medium in the environment surrounding the lidar device.

Differential methods for environment estimation, lidar impairment detection, and filtering

Aspects of the disclosure relate to generating a puddle occupancy grid including a plurality of cells. For instance, a first probability value for a puddle being located at a first location generated using sensor data from a first sensor may be received. A second probability value for a puddle being located at a second location generating using sensor data from a second sensor different from the first sensor may be received. A first cell may be identified from the plurality of cells using the first location. The first cell may also be identified using the second location. A value for the cell may be generated using the first probability value and the second probability value.

Puddle occupancy grid for autonomous vehicles

Growing community of inventors

Ann Arbor, MI, United States of America

Yuchi Wang