David H Pfeiffer

US Patent:

20230095410, Mar 30, 2023

Filed:

Sep 24, 2021

Appl. No.:

17/484169

Inventors:

- Foster City CA, US
David Pfeiffer - Foster City CA, US
Zeng Wang - Foster City CA, US
Allan Zelener - San Mateo CA, US

International Classification:

G01S 17/931
G01S 17/06
G01B 21/16
G01S 7/4863
G06N 20/00

Abstract:

Techniques for detecting and classifying objects using lidar data are discussed herein. In some cases, the system may be configured to utilize a predetermined number of prior frames of lidar data to assist with detecting and classifying objects. In some implementations, the system may utilize a subset of the data associated with the prior lidar frames together with the full set of data associated with a current frame to detect and classify the objects.

US Patent:

20230055888, Feb 23, 2023

Filed:

Oct 11, 2022

Appl. No.:

18/045554

Inventors:

- Foster City CA, US
David Pfeiffer - Foster City CA, US

International Classification:

G06T 7/11
G05D 1/02
G06N 20/00
G06V 20/56

Abstract:

A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data.

US Patent:

20210056705, Feb 25, 2021

Filed:

Nov 9, 2020

Appl. No.:

17/093086

Inventors:

- Foster City CA, US
David Pfeiffer - Foster City CA, US

International Classification:

G06T 7/11
G05D 1/02
G06N 20/00
G06K 9/00

Abstract:

A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data.

US Patent:

20200400799, Dec 24, 2020

Filed:

Jul 6, 2020

Appl. No.:

16/920983

Inventors:

- Foster City CA, US
David Pfeiffer - Foster City CA, US

International Classification:

G01S 7/497
G05D 1/02
G05D 1/00
G01S 17/08
G01S 17/87
G01S 17/42
G01S 17/931

Abstract:

A vehicle control system includes various sensors. The system can include, among others, LIDAR, RADAR, SONAR, cameras, microphones, GPS, and infrared systems for monitoring and detecting environmental conditions. In some implementations, one or more of these sensors may become miscalibrated. Using data collected by the sensors, the system can detect a miscalibrated sensor and generate an indication that one or more sensors have become miscalibrated. For example, data captured by a sensor can be processed to determine an average height represented by the sensor data and compared to an average height of data captured by other sensors. Based on a difference in heights, an indication can be generated identifying a miscalibrated sensor.

US Patent:

20200218278, Jul 9, 2020

Filed:

Mar 20, 2020

Appl. No.:

16/825778

Inventors:

- Foster City CA, US
David Pfeiffer - Foster City CA, US
Dragomir Dimitrov Anguelov - San Francisco CA, US
Subhasis Das - Menlo Park CA, US
Allan Zelener - San Mateo CA, US

International Classification:

G05D 1/02
G01S 17/89
G05D 1/00
G06N 3/08
G06K 9/62
G06K 9/00
G06T 7/521
G06T 7/181
G06T 7/187

Abstract:

A vehicle can include various sensors to detect objects in an environment. Sensor data can be captured by a perception system in a vehicle and represented in a voxel space. Operations may include analyzing the data from a top-down perspective. From this perspective, techniques can associate and generate masks that represent objects in the voxel space. Through manipulation of the regions of the masks, the sensor data and/or voxels associated with the masks can be clustered or otherwise grouped to segment data associated with the objects.

US Patent:

20200126237, Apr 23, 2020

Filed:

Dec 17, 2019

Appl. No.:

16/716960

Inventors:

- Foster City CA, US
David Pfeiffer - Foster City CA, US

International Classification:

G06T 7/11
G06N 20/00
G05D 1/02

Abstract:

A system may include one or more processors configured to receive a plurality of images representing an environment. The images may include image data generated by an image capture device. The processors may also be configured to transmit the image data to an image segmentation network configured to segment the images. The processors may also be configured to receive sensor data associated with the environment including sensor data generated by a sensor of a type different than an image capture device. The processors may be configured to associate the sensor data with segmented images to create a training dataset. The processors may be configured to transmit the training dataset to a machine learning network configured to run a sensor data segmentation model, and train the sensor data segmentation model using the training dataset, such that the sensor data segmentation model is configured to segment sensor data.