Aeva, Inc.

Krishna Toshniwal

Kumar Bhargav Viswanatha

Jose Krause Perin

Bruno Hexsel

James Nakamura

Rajendra Tushar Moorti

Mina A Rezk

A set of POIs of a point cloud are received at a first filter. Each POI of the set of POIs is filtered. At a second filter, based on a first metric, a first score of the POI is determined. At a third filter, based on a second metric, a second score of the POI is determined. At the first filter, based on the first score and the second score, whether to accept the POI, modify the POI, or reject the POI, is determined to extract range or velocity information.

Techniques for parallel cascade filtering in point clouds

A set of POIs of a point cloud are received at a first filter, where each POI of the set of POIs comprises one or more points. Each POI of the set of POIs is filtered. A set of neighborhood points of a POI is selected. A metric for the set of neighborhood points is computed based on a property of the set of neighborhood points and the POI, wherein the property comprises a velocity. Based on the metric, whether to accept the POI, modify the POI, reject the POI, or transmit the POI to a second filter, to extract at least one of range or velocity information related to the target is determined. Provided the POI is not accepted, modified, or rejected, the POI is transmitted to the second filter to determine whether to accept, modify, or reject the POI to extract the at least one of range or velocity information related to the target.

Techniques for filtering points in a light detection and ranging system

Techniques for cascade filtering of a set of points of interest (POIs) in a light detection and ranging (LiDAR) system is described. The method includes performing a series of cascaded filtering of a set of points of interest (POIs) on a first point cloud. The method includes calculating, for each POI of the set of POIs, at least a first metric for a first set of neighborhood points to make a decision with respect to a subset of the set of POIs for transmission to a second point cloud. The method also includes extracting at least one of range or velocity information based on the second point cloud based on the decision.

Techniques for using a series cascaded filter to determine range and/or velocity information

A light detection and ranging (LIDAR) technique that includes dividing the field of view into a grid including a plurality of cells. The technique also includes generating a baseband signal based on a returned optical beam. The baseband signal includes a plurality of peaks corresponding with up-chirps and down-chirps in the transmitted signal. A plurality of points are computed based on the peaks. Each point includes information describing a range and a velocity and corresponds to a respective cell. A point confidence score is computed for each point, and a cell confidence score is computed for each cell based on the point confidence scores of the points within the cell. Each point can be accepted or rejected for inclusion in a point cloud based on the point confidence score for the point and the cell confidence scores for the plurality of cells.

Techniques for improving probability of detection in light detection and ranging (LIDAR) systems

A set of POIs of a point cloud are received at a first filter, where each POI of the set of POIs comprises one or more points. Each POI of the set of POIs is filtered. A set of neighborhood points of a POI is selected. A metric for the set of neighborhood points is computed. Based on the metric, whether to accept the POI, modify the POI, reject the POI, or transmit the POI to a second filter, to extract at least one of range or velocity information related to the target is determined. Provided the POI is accepted or modified, the POI is transmitted to a filtered point cloud; provided the POI is rejected, the POI is prevented from reaching the filtered point cloud; provided the POI is not accepted, modified, or rejected, the POI is transmitted to a second filter.

Techniques for point cloud filtering

Techniques for cascade filtering of a set of points of interest (POIs) in a light detection and ranging (LiDAR) system is described. The method includes performing a series of cascaded filtering of a set of points of interest (POIs) in a first point cloud and a second point cloud of the LiDAR system. The method also includes calculating at least a first metric over at least the POI and to make a decision with respect to the second point cloud, and extracting at least one of range and velocity information based on the second point cloud.

Techniques for cascade filtering of points of interest in point clouds

A set of POIs of a point cloud are received at a first filter, where each POI of the set of POIs comprises one or more points. Each POI of the set of POIs is filtered. At a second filter, a first set of neighborhood points of a POI is selected. A first metric for the first set of neighborhood points is computed. Based on the first metric, a first score of the POI is determined. At a third filter, a second set of neighborhood points of a POI is selected. A second metric for the second set of neighborhood points is computed. Based on the second metric, a second score of the POI is determined. At the first filter, based on the first score and the second score, whether to accept the POI, modify the POI, or reject the POI, is determined to extract range or velocity information.

Techniques for fast point cloud filtering using a parallel cascaded filter

Each POI of a set of POIs of a first point cloud is filtered. At a first filter, a first set of neighborhood points of a POI is selected; a first metric for the first set of neighborhood points is computed; and based on the first metric, whether to accept, modify, reject or transmit the POI to a second filter is determined. Provided the POI is accepted or modified, the POI is transmitted to a second point cloud; provided the POI is rejected, the POI is prevented from reaching the second point cloud; provided the POI is not accepted, modified, or rejected, the POI is transmitted to a second filter. At the second filter, provided the POI is accepted or modified, the POI is transmitted to the second point cloud. At least one of range and velocity information is extracted based on the second point cloud.

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Mountain View, CA, United States of America

Krishna Toshniwal