Granted Patent B1

US 12,748,942 · App. 18/305,690 · Granted Sep 29, 2026

Inventors: Muhammad Ali Akhtar (Oakland, CA); Abhishyant Khare (San Francisco, CA); Brian Tuan (Cupertino, CA); John Charles Bicket (Burlingame, CA)

Assignee: Samsara Inc.

G06N3/02G06F16/29G06N7/01

Abstract

Claims (32)

1 . A method performed by a computing system having one or more hardware computer processors and one or more non-transitory computer readable storage device storing software instructions executable by the computing system, the method comprising:

accessing map data including a plurality of hexagon-shaped regions each associated with a geographic area;

accessing a plurality of telemetry data points from a plurality of vehicles, wherein each of the telemetry data points indicates at least a speed of a vehicle associated with a geographic location;

for individual telemetry data points, associating the telemetry data point to a corresponding hexagon-shaped region; and

for individual hexagon-shaped regions:

evaluating a machine learning algorithm, based at least on the telemetry data points associated with the hexagon-shaped region, to determine a characteristic of the hexagon-shaped region;

if the characteristic of the hexagon-shaped region meets a first criteria, updating the map data associated with the hexagon-shaped region with a first indication; and

if the characteristic of the hexagon-shaped region does not meet the criteria, updating the map data associated with the hexagon-shaped region with a second indication;

providing the map data to a navigation application associated with a vehicle, wherein the map data is usable in detection of safety events that are customized based on which of the first or second indication is associated with a current hexagon shaped-region where the vehicle is positioned.

2 . The method of claim 1 , wherein the map data is stored in a network-accessible location that is accessible by each of a plurality of vehicle devices.

3 . The method of claim 1 , wherein the map data is usable by a vehicle device attached to a first vehicle.

4 . The method of claim 3 , wherein the vehicle device includes one or more of a video sensor, audio sensor, accelerometer, or global positioning system (GPS).

5 . The method of claim 4 , wherein the vehicle device includes communication circuitry configured to transmit data to, and receive data from, a backend server.

6 . The method of claim 5 , wherein the geographic location of telemetry data points includes a latitude and longitude coordinate.

7 . The method of claim 5 , wherein individual telemetry data points each include one or more of a bearing, direction, timestamp, or vehicle ID.

8 . A computing system comprising:

a hardware computer processor;

a non-transitory computer readable medium having software instructions stored thereon, the software instructions executable by the hardware computer processor to cause the computing system to perform operations comprising:

accessing map data including a plurality of hexagon-shaped regions each associated with a geographic area;

accessing a plurality of telemetry data points from a plurality of vehicles, wherein each of the telemetry data points indicates at least a speed of a vehicle associated with a geographic location;

for individual telemetry data points, associating the telemetry data point to a corresponding hexagon-shaped region; and

for individual hexagon-shaped regions:

evaluating a machine learning algorithm, based at least on the telemetry data points associated with the hexagon-shaped region, to determine a characteristic of the hexagon-shaped region;

if the characteristic of the hexagon-shaped region meets a criteria, updating the map data associated with the hexagon-shaped region with a first indication; and

if the characteristic of the hexagon-shaped region does not meet the criteria, updating the map data associated with the hexagon-shaped region with a second indication;

providing the map data to a navigation application associated with a vehicle, wherein the map data is usable in detection of safety events that are customized based on which of the first or second indication is associated with a current hexagon shaped-region where the vehicle is positioned.

9 . The computing system of claim 8 , wherein the map data is stored in a network-accessible location that is accessible by each of a plurality of vehicle devices.

10 . The computing system of claim 8 , wherein the map data is usable by a vehicle device attached to a first vehicle.

11 . The computing system of claim 10 , wherein the vehicle device includes one or more of a video sensor, audio sensor, accelerometer, or global positioning system (GPS).

12 . The computing system of claim 11 , wherein the vehicle device includes communication circuitry configured to transmit data to, and receive data from, a backend server.

13 . The computing system of claim 12 , wherein the geographic location of telemetry data points includes a latitude and longitude coordinate.

14 . The computing system of claim 12 , wherein individual telemetry data points each include one or more of a bearing, direction, timestamp, or vehicle ID.

Continuity (2)

References Cited (400)