Map and Kinematic Prediction

Patent metadata

Field	Value
Publication number	US-2025044106-A1
Application number	US-202318228553-A
Country	US
Kind code	A1
Filing date	Jul 31, 2023
Priority date	Jul 31, 2023
Publication date	Feb 6, 2025
Grant date	—

Abstract

Map and kinematic based predictions are used for determining the trajectory of road users for use by a host vehicle. A kinematic trajectory of a road user is determined. The road user is associated with mapped lanes. At least one path of the road user is predicted using the mapped lanes. For a path of the at least one path, a probability is generated using the kinematic trajectory of the road user, wherein the probability represents how likely the road user will continue following the path. A kinematic prediction of the road user is generated using the probability corresponding to the path, wherein the kinematic prediction represents how likely the road user will follow an alternative path to the at least one path. Using at least one control system of a vehicle, a control action for the vehicle is determined using the at least one path and the kinematic prediction.

First claim

What is claimed is:

1 . A method, comprising:
determining a kinematic trajectory of a road user within a vehicle transportation network; associating the road user with mapped lanes of the vehicle transportation network; determining at least one path of the road user predicted using the mapped lanes; generating, for a path of the at least one path, a probability using the kinematic trajectory of the road user, wherein the probability represents how likely the road user will continue following the path; generating a kinematic prediction of the road user using the probability corresponding to the path, wherein the kinematic prediction represents how likely the road user will follow an alternative path to the at least one path; and determining, using at least one control system of a vehicle, a control action for the vehicle using the at least one path and the kinematic prediction.

2 . The method of claim 1 , wherein the kinematic prediction is generated by dividing the probability corresponding to the path by a threshold value.

3 . The method of claim 1 , wherein the probability corresponding to the path is multiplied by a smoothing factor.

4 . The method of claim 1 , wherein the kinematic trajectory of the road user is determined using a first heading and a first angle of the road user measured at a first time in relation to a second heading and a second angle of the road user measured at a second time.

5 . The method of claim 1 , wherein the at least one path is determined based on defined traffic rules and lane priority rules for the mapped lanes.

6 . The method of claim 2 , wherein the threshold value is a number between 0 and 1.

7 . The method of claim 3 , wherein the smoothing factor is a number between 0 and 1.

8 . An apparatus, comprising:
a memory; and
a processor configured to execute instructions stored in the memory to:
determine a kinematic trajectory of a road user within a vehicle transportation network;
associate the road user with mapped lanes of the vehicle transportation network;
determine at least one path of the road user predicted using the mapped lanes;
generate, for a path of the at least one path, a probability using the kinematic trajectory of the road user, wherein the probability represents how likely the road user will continue following the path;
generate a kinematic prediction of the road user using the probability corresponding to the path, wherein the kinematic prediction represents how likely the road user will follow an alternative path to the at least one path; and
determine, using at least one control system of a vehicle, a control action for the vehicle using the at least one path and the kinematic prediction.

9 . The apparatus of claim 8 , wherein the kinematic prediction is generated by dividing the probability corresponding to the path by a threshold value.

10 . The apparatus of claim 8 , wherein the probability corresponding to the one or more map-based prediction is multiplied by a smoothing factor.

11 . The apparatus of claim 8 , wherein the kinematic trajectory of the road user is determined using a first heading and a first angle of the road user measured at a first time in relation to a second heading and a second angle of the road user measured at a second time.

12 . The apparatus of claim 8 , wherein the at least one path is determined based on defined traffic rules and lane priority rules for the mapped lanes.

13 . The apparatus of claim 9 , wherein the threshold value is a number between 0 and 1.

14 . The apparatus of claim 10 , wherein the smoothing factor is a number between 0 and 1.

15 . A non-transitory computer-readable medium storing instructions operable to cause one or more processors to perform operations comprising:
determining a kinematic trajectory of a road user within a vehicle transportation network; associating the road user with mapped lanes of the vehicle transportation network; determining at least one path of the road user predicted using the mapped lanes; generating, for a path of the at least one path, a probability using the kinematic trajectory of the road user, wherein the probability represents how likely the road user will continue following the path; generating a kinematic prediction of the road user using the probability corresponding to the path, wherein the kinematic prediction represents how likely the road user will follow an alternative path to the at least one path; and determining, using at least one control system of a vehicle, a control action for the vehicle using the at least one path and the kinematic prediction.

16 . The non-transitory computer readable medium storing instructions of claim 15 , wherein the kinematic prediction is generated by dividing the probability corresponding to the path by a threshold value.

17 . The non-transitory computer readable medium storing instructions of claim 15 , wherein the kinematic trajectory of the road user is determined using a first heading and a first angle of the road user measured at a first time in relation to a second heading and a second angle of the road user measured at a second time.

18 . The non-transitory computer readable medium storing instructions claim 15 , wherein the at least one path is determined based on defined traffic rules and lane priority rules for the mapped lanes.

19 . The non-transitory computer readable medium storing instructions of claim 16 wherein the probability corresponding to the path is multiplied by a smoothing factor.

20 . The non-transitory computer readable medium storing instructions of claim 19 , wherein the threshold value is a first number between 0 and 1 and the smoothing factor is a second number between 0 and 1.

Assignees

• Nissan North America Inc

Inventors

• Huynh Manh
• Ostafew Christopher
• Chen Huiching

Classifications

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title

• B60W2554/4045

  Intention, e.g. lane change or imminent movement · CPC title

• B60W30/18154

  Approaching an intersection · CPC title

• B60W30/0956

  the prediction being responsive to traffic or environmental parameters · CPC title

• B60W60/00272

  relying on extrapolation of current movement · CPC title