UNCERTAINTY-BASED DATA MINING FOR POINT CLOUD OBJECT DETECTION SYSTEMS
Number of patents in Portfolio can not be more than 2000
United States of America
Stats
-
N/A
Issued Date -
Jan 16, 2025
app pub date -
Jul 11, 2023
filing date -
Jul 11, 2023
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
The present disclosure provides a system and method that analyzes, onboard an autonomous driving vehicle (ADV), a frame of LIDAR data to identify one or more obstacles in the frame of LIDAR data. The system and method compute, by a machine learning model onboard the ADV, a confidence value for each of the one or more obstacles to produce one or more confidence values, wherein the one or more confidence values indicate a level of prediction certainty of the machine learning model. The system and method determine whether at least one of the one or more confidence values is below a confidence threshold. The system and method upload the frame of LIDAR data from the ADV to an offboard storage area based on determining that at least one of the one or more confidence values is below the confidence threshold.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully