Netradyne, Inc.

Adam David Kahn

David Jonathan Julian

Michael Campos

Venkata Sreekanta Reddy Annapureddy

Sandeep Pandya

Avneesh Agrawal

Tejeswara Rao Gudena

Vinay Kumar Rai

Lance Steven Hetherington

Badugu Naveen Chakravarthy

Arun Valiaparambil

Hisham Rahman

Ankur Nigam

Alexander Thomas

Priyam Bakliwal

Sneha Aenugu

Vikram Makam Gupta

Venkata Ramanan Venkatachalam Jayaraman

Arvind Yedla

Praveen Kumar

Jonathan Albert Cox

Veeresh Taranalli

Suresh Babu Yanamala

Stephan Franklin Dunn

Karan Kishore

Manoj Venkata Tutika

Venkat Ramanan Venkatachalam Jayaraman

Anubhav

Matthew Karl Drake

Hemanth Roy Badugu

Aravind P (Padmasanan)

James Anthony Curtis

Karthik Dumpala

Suresh Kumar Yerakaraju

Shravan Kumar Motuti

Anubhav Gupta

Vishal Gupta

Roshan Mathews

Satinder Singh

Systems and methods are provided for detecting a driving action that mitigates risk.

Detection of driving actions that mitigate risk

Systems and methods for curating video and other driving-related data for use in driver coaching, which may include selecting or ranking driving behaviors for coaching, selecting or ranking drivers for coaching, selecting or ranking video and other data to be used in coaching, preparing for, scheduling, and summarizing coaching sessions, matching the format of coaching to the behavior or person being coached, preventing unsafe driving situations, influencing job dispatch decisions based on safety scores, and/or reducing data bandwidth usage based on a determined coaching effectiveness of video data.

Virtual safety manager

Systems and methods are provided for recording video of a driver in a vehicle and a surrounding visual field of the driver. The system includes a detachable body coupled to a windshield of a vehicle. The system further includes three or more cameras coupled to the detachable body. The three or more cameras are configured to capture surrounding views from the detachable body. One of the three or more cameras faces a driver seat of the vehicle in response to the detachable body being coupled to the windshield of the vehicle. The video may be processed by the system, the cloud, or a combination of them.

Recording video of an operator and a surrounding visual field

Systems and methods are provided for determining cause of atypical traffic events and/or encouraging good driving behavior. The systems and methods may involve a camera sensor and/or inertial sensors to detect traffic events, as well analytical methods that may attribute a cause to the traffic event. The systems and methods include a processor that is configured to determine an occurrence of an atypical traffic event at or near a monitored vehicle; and determine a cause of the atypical traffic event based on data collected at the monitored vehicle, wherein the cause of the atypical traffic event is at least one of: a driver or control system of the monitored vehicle; a second driver or second control system of a second vehicle; and a road condition.

Determining causation of traffic events and encouraging good driving behavior

Systems and methods are provided for distributed video storage and search with edge computing. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and/or a representation of the data from the first device to a third device.

Distributed video storage and search with edge computing

Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing one-click driver image labeling to facilitate the assignment of drive time to a driver. Various aspects of the driver and/or passengers may be determined, which may include a driver identifier previously associated with the driver, whether the driver is wearing a facial covering, whether an image of the driver is partially occluded, whether the driver is facing in the direction of the camera, and whether an image of the driver is expected to be easily recognizable to a person tasked with assigning representative driver images to driver identifiers. These determinations may be used to improve the efficacy and ease-of-use of a visual login system.

Visual login

The present disclosure provides devices, systems and methods for mapping of traffic boundaries.

Traffic boundary mapping

Growing community of inventors

San Diego, CA, United States of America

Adam David Kahn