公开(公告)号：US12272138B1

公开(公告)日：2025-04-08

申请号：US18750793

申请日：2024-06-21

Applicant: Samsara Inc.

Inventor： Rohit Annigeri ,  Sharan Srinivasan ,  Kevin Lai ,  Jose Cazarin ,  Brian Westphal ,  Shiva Bala ,  Ivan Stoev ,  Douglas Boyle ,  Cole Jurden ,  Margaret Irene Finch ,  Rachel Demerly ,  Maya Krupa ,  Shirish Nair ,  Nathan Hurst ,  Yan Wang ,  Shaurye Aggarwal ,  Akshay Raj Dhamija

IPC: G06V20/40 ,  B60Q9/00 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/94 ,  G06V20/58

Abstract: Techniques are presented for the detection and management of collision warning (CW) events. A training dataset comprising videos of vehicle collisions and non-collisions, sensor readings, environmental conditions, and more is utilized to train a CW classification model for detecting potential collision events in vehicles. A backend CW classification model, with greater computational resources, employs a more complex neural network to review CW events received by the Behavioral Monitoring System (BMS) based on video data, achieving higher precision and reducing false positives. The CW model is installed in vehicles for real-time detection, while the backend model is deployed at the BMS. The BMS validates detected CW events, filters out false positives, and streamlines the review process for fleet administrators and customers. Additional BMS filtering operations include assessing non-proximity-related CW events and camera impairments, with the filtered CW events presented for review in the safety inbox.