Sheng Lung Chen

US Patent:

20120278263, Nov 1, 2012

Filed:

Oct 25, 2011

Appl. No.:

13/281383

Inventors:

Andrew Borthwick - Kirkland WA, US
Sheng Chen - Ridgefield NJ, US

Assignee:

INTELIUS INC. - Bellevue WA

International Classification:

G06F 15/18

US Classification:

706 12

Abstract:

Record Linkage (RL) is the task of identifying two or more records referring to the same entity (e.g., a person, a company, etc.). RL models can be based on Cost Sensitive Alternating Decision Trees (ADTree), an algorithm that uniquely combines boosting and decision trees algorithms to create shorter and easier-to-interpret linking rules. These models can be naturally trained to operate at industrial precision/recall operating points, and the shorter output rules are so clear that it can effectively explain its decisions to non-technical users via score aggregation or visualization. The models significantly outperform other baselines on the desired industrial operating points, and the improved understanding of the model's decisions led to faster debugging and feature development cycles.

US Patent:

20210405638, Dec 30, 2021

Filed:

Jun 26, 2020

Appl. No.:

16/914189

Inventors:

- Seattle WA, US
Baoyuan Liu - Bellevue WA, US
Xiaohan Nie - Lynnwood WA, US
Sheng Chen - Seattle WA, US

International Classification:

G05D 1/02
G05D 1/00
B60W 60/00
G06K 9/00
G06T 7/73

Abstract:

The present disclosure generally relates to a system of a delivery device for combining sensor data from various types of sensors to generate a map that enables the delivery device to navigate from a first location to a second location to deliver an item to the second location. The system obtains data from RGB, LIDAR, and depth sensors and combines this sensor data according to various algorithms to detect objects in an environment of the delivery device, generate point cloud and pose information associated with the detected objects, and generates object boundary data for the detected objects. The system further identifies object states for the detected object and generates the map for the environment based on the detected object, the generated object proposal data, the labeled point cloud data, and the object states. The generated map may be provided to other systems to navigate the delivery device.