Invention Grant
- Patent Title: Visualizing machine learning predictions of human interaction with vehicles
-
Application No.: US17067470Application Date: 2020-10-09
-
Publication No.: US11551030B2Publication Date: 2023-01-10
- Inventor: Stephen Cope
- Applicant: Perceptive Automata, Inc.
- Applicant Address: US MA Boston
- Assignee: Perceptive Automata, Inc.
- Current Assignee: Perceptive Automata, Inc.
- Current Assignee Address: US MA Boston
- Agency: Fenwick & West LLP
- Main IPC: G06V20/40
- IPC: G06V20/40 ; G06K9/62 ; G06T11/20 ; G06F3/04842 ; G06N20/00 ; G06V20/56 ; G06V40/20

Abstract:
A computing device accesses video data displaying one or more traffic entities and generates a plurality of sequences from the video data. For each sequence, the computing device identifies a plurality of stimuli in the sequence and applies a machine learning model to generate an output describing the traffic entity. The computing device generates a data structure for storing, for each sequence, information describing the sequence and linking frame indexes of stimuli from the sequence to outputs of the machine learning model. The computing device stores the data structure in association with the video data. Responsive to receiving a selection of a sequence, the computing device loads video data for the sequence. Responsive to receiving a selection of a traffic entity within the video data, the computing device generates a graphical display element including the machine learning model output for the selected traffic entity.
Public/Granted literature
- US20210110203A1 VISUALIZING MACHINE LEARNING PREDICTIONS OF HUMAN INTERACTION WITH VEHICLES Public/Granted day:2021-04-15
Information query