Aeva, Inc.

James Reuther

Mina A Rezk

Kumar Bhargav Viswanatha

Jose Krause Perin

Bruno Hexsel

James Nakamura

Heethesh Vhavle Naresh

Kshitij Jain

Jim Tan

A method for dynamic monitoring of a trailer using a light detection and ranging (LIDAR) system comprising: scanning the trailer using a set of sensors positioned on a tractor towing the trailer to generate a point cloud of the trailer and monitoring an initial set of motion data of the trailer produced within the point cloud, wherein the motion data comprises velocity data related to the trailer. Provided the initial set of motion data is outside a safe operational threshold, instructing the tractor to perform a corrective action that causes a subsequent set of motion data of the trailer to be within the safe operational threshold. Provided the initial set of motion data is within the safe operational threshold, continuing to monitor the initial set of motion data until the initial set of motion data is outside the safe operational threshold.

Techniques for dynamic trailer monitoring using frequency modulated continuous wave based lidar

A method generates first points based on a first scan of an environment that includes one or more moving objects. The method transforms the first points into a first static frame, which includes removing one or more of the first points corresponding to the one or more moving objects. The method generates second points based on a second scan of the environment that includes the one or more moving objects. The method transforms the second points into a second static frame, which includes removing one or more of the second points corresponding to the one or more moving objects. The method combines the first static frame and the second static frame into an accumulated static frame, which has an increase in resolution compared with the first static frame. The method then loads the accumulated static frame into a point cloud.

Techniques for point cloud frame accumulation in FMCW LIDAR

A method transmits a first optical beam towards targets within a field of view (FOV). The first optical beam is modulated at a first chirp rate for a first set of scan lines that correspond to a first distance of the targets. The method identifies conditions based on the FOV to calculate a second chirp rate, and generates a scan pattern by transmitting a second optical beam towards the targets within the FOV. The second optical beam is modulated at the second chirp rate for a second set of scan lines that corresponds to a second distance of the one or more targets. The method generates, based on the first and second optical beams, the point cloud that includes multiple data points related to the target in which some of the data points are related to a first target and other data points are related to a second target.

Techniques for foveated and dynamic range modes for FMCW LIDARs

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San Francisco, CA, United States of America

James Reuther