Zoox, Inc.

Aleksandrs Ecins

Derek Adams

Jesse Sol Levinson

Patrick Blaes

Daniel Miller

Michael Carsten Bosse

Siddharth Ratapani Navin

Nitesh Shroff

Techniques are discussed for modifying map elements associated with map data. Map data can include three-dimensional data (e.g., LIDAR data) representing an environment, while map elements can be associated with the map data to identify locations and semantic information associated with an environment, such as regions that correspond to driving lanes or crosswalks. A trajectory associated with the map data can be updated, such as when aligning one or more trajectories in response to a loop closure, updated calibration, etc. The transformation between a trajectory and an updated trajectory can be applied to map elements to warp the map elements so that they correspond to the updated map data, thereby providing automatic and accurate techniques for updating map elements associated with map data.

Modifying map elements associated with map data

Systems and methods for calibrating multiple inertial measurement units on a system include calibrating a first of the inertial measurement units relative to the system using a first calibration model, and calibrating the remaining inertial measurement unit(s) relative to the first inertial measurement unit using a second calibration model. The calibration of the remaining inertial measurement unit(s) to the first inertial measurement unit can be based on a rigid body model by aligning a rotational velocity of the first inertial measurement unit with a rotational velocity of the remaining inertial measurement unit(s).

Calibrating multiple inertial measurement units

Techniques for, among other things, detecting faults associated with inertial measurement units (IMUs) of a vehicle when multiple IMUs are coupled to the vehicle are described herein. The techniques may include receiving first data from a first IMU of the vehicle and receiving second data from a second IMU of the vehicle. Based at least in part on the first data and the second data, a rotation of the first IMU relative to the second IMU may be calculated. The calculated rotation between the first IMU and the second IMU may be indicative of a fault associated with the first IMU or the second IMU. In response to detecting the fault, an action may be performed with respect to the first IMU or the second IMU to correct for the fault.

Inertial measurement unit fault detection

Techniques for validating data that represents an environment are discussed herein. In examples, the techniques can associate data of an environment with a voxel space including multiple voxels. The techniques can analyze the voxels to identify an error, such as multiple layers for a single surface in an environment, a hole for a location in an environment where a hole does not exist, uneven regions for a smooth surface in an environment, and so on. In some examples, when an error has been identified, an action can be performed, such as displaying a representation associated with the data and an indication of the error, storing an indication of the error in a log file, updating a trajectory for a vehicle, updating the data or a mesh associated with the data, and so on.

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San Mateo, CA, United States of America

Aleksandrs Ecins