Vehicle emission measurement

Patent metadata

Field	Value
Publication number	US-12462579-B2
Application number	US-202218087388-A
Country	US
Kind code	B2
Filing date	Dec 22, 2022
Priority date	Dec 22, 2022
Publication date	Nov 4, 2025
Grant date	Nov 4, 2025

Abstract

Systems and methods are described for the vehicle emission measurement. An example method may include receiving a plurality of images from a first vehicle traveling on a section of roadway, determining a quantity of surrounding vehicles from the plurality of images, determining a cropped image of at least one of the surrounding vehicles from the plurality of images, identifying a model of the at least one of the surrounding vehicles from the cropped image, and calculating an emission measurement factor for the section of roadway based on at least the quantity of surrounding vehicles for the at least one of the surrounding vehicles.

First claim

We claim:

1 . A method for vehicle emission measurement, the method comprising:
receiving a plurality of images from a first vehicle traveling on a section of roadway; determining a quantity of surrounding vehicles from the plurality of images; determining a cropped image of at least one of the surrounding vehicles from the plurality of images; identifying a model of the at least one of the surrounding vehicles from the cropped image; calculating an emission measurement factor for the section of roadway based on at least the quantity of surrounding vehicles for the at least one of the surrounding vehicles; and generating a speed command for the first vehicle based on the emission measurement factor.

2 . The method of claim 1 , further comprising:
calculating a confidence value for the identification of the model of the at least one of the surrounding vehicles; and comparing the confidence value to a threshold value.

3 . The method of claim 2 , wherein when the confidence value is greater than the threshold value, the emission measurement factor is determined based on the quantity of surrounding vehicles and the identified model for the at least one of the surrounding vehicles.

4 . The method of claim 2 , further comprising:
when the confidence value is less than the threshold value, determining a vehicle structure for the at least one surrounding vehicle.

5 . The method of claim 4 , wherein when the confidence value is less than the threshold value, the emission measurement factor is determined based on the quantity of surrounding vehicles and the vehicle structure for the at least one of the surrounding vehicles.

6 . The method of claim 5 , wherein determining the vehicle structure comprises:
identifying a type of vehicle selected from a group comprising: small car, mid-size car, sport utility vehicle, small truck, or large truck.

7 . The method of claim 5 , wherein determining the vehicle structure comprises:
applying the cropped image to a vehicle classification neural network model trained on vehicle classifications; and
receiving data indicative of the vehicle structure from the vehicle classification neural network model.

8 . The method of claim 1 , wherein determining a quantity of surrounding vehicles from the plurality of images comprises:
applying the plurality of images to a vehicle quantity neural network model trained on historical observations of vehicle quantities; and receiving data indicative of the quantity of surrounding vehicles from the vehicle quantity neural network model.

9 . The method of claim 1 , wherein identifying a model of the at least one of the surrounding vehicles from the cropped image comprises:
applying the cropped image to a vehicle model neural network model trained on historical observations of vehicle models; and
receiving data indicative of the model of vehicle from the vehicle model neural network model.

10 . The method of claim 1 , further comprising:
generating a map including the section of roadway and the emission measurement factor.

11 . The method of claim 1 , further comprising:
generating a travel recommendation based on the emission measurement factor.

12 . The method of claim 1 , further comprising:
generating a route based on the emission measurement factor.

13 . An apparatus for vehicle emission determination, the apparatus comprising:
an emission estimation controller configured to receive a plurality of images from a first vehicle traveling on a section of roadway; a first vehicle model, accessible by the emission estimation controller, configured to determine a quantity of surrounding vehicles from the plurality of images; a second vehicle model, accessible by the emission estimation controller, configured to identify a model of at least one of the surrounding vehicles from a cropped image identified from the plurality of images; and a third vehicle model, accessible by the emission estimation controller, configured to determine a type of vehicle of the at least one of the surrounding vehicles from the cropped image identified from the plurality of images, wherein the emission estimation controller is configured to calculate an emission measurement factor for the section of roadway based on the quantity of surrounding vehicles for the at least one of the surrounding vehicles and based on the model of the at least one surrounding vehicles or the type of vehicles, wherein the emission estimation controller is configured to generate a speed command based on the emission measurement factor.

14 . The apparatus of claim 13 , wherein the emission estimation controller is configured to calculate a confidence value for the identification of the model of the at least one of the surrounding vehicles.

15 . The apparatus of claim 14 , wherein the emission estimation controller is configured to compare the confidence value to a threshold value and calculations of the emission measurement factor is based on the comparison.

16 . The apparatus of claim 15 , wherein when the confidence value is greater than the threshold value, the emission measurement factor is determined based on the quantity of surrounding vehicles and the identified model for the at least one of the surrounding vehicles.

17 . The apparatus of claim 15 , wherein when the confidence value is less than the threshold value, the emission measurement factor is determined based on the quantity of surrounding vehicles and the type of vehicle for the at least one of the surrounding vehicles.

18 . The apparatus of claim 14 , wherein the type of vehicle is a body style of the vehicle.

19 . A non-transitory computer readable medium including instructions that when executed are configured to perform:
receiving an estimated emission value; storing the estimated emission value with location coordinates; receiving a route request from an origin to a destination; and generating a route from the origin to the destination and a speed command based on the estimated emission value.

Assignees

• Here Global Bv

Inventors

• Nayak Amarnath
• Bernhardt Bruce

Classifications

• G06V2201/08

  Detecting or categorising vehicles · CPC title

• G06T2207/30242

  Counting objects in image · CPC title

• G06T2207/30236

  Traffic on road, railway or crossing · CPC title

• G06T2207/20132

  Image cropping · CPC title

• G06T2207/20084

  Artificial neural networks [ANN] · CPC title