Supercharge Your Innovation With Domain-Expert AI Agents!

Method and device for predicting the trajectory of a traffic participant, and sensor system

A technology of actors, sensors, applied in the field of sensor systems

Pending Publication Date: 2022-01-28
ROBERT BOSCH GMBH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Further modeling might reduce the noise of the measurements, e.g. using a Kalman filter, or dynamically choose the model that seems best suited, e.g. using a switched linear dynamical system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for predicting the trajectory of a traffic participant, and sensor system
  • Method and device for predicting the trajectory of a traffic participant, and sensor system
  • Method and device for predicting the trajectory of a traffic participant, and sensor system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In the drawings, like reference numerals designate corresponding similar parts.

[0031] figure 1 A schematic block diagram of a sensor system 1 of a vehicle is shown. The sensor system 1 comprises at least one sensor 3 which may comprise a camera sensor, a radar sensor, a lidar sensor, an infrared sensor or the like. The sensor 3 acquires sensor data at each of the plurality of acquisition times. Sensor data may include camera images, radar images, etc.

[0032] Sensor system 1 also includes a device 2 for predicting the trajectory of road users. The traffic participant can be the vehicle itself. Traffic participants can also be other vehicles, pedestrians or cyclists, etc. It is also possible to predict the trajectory of the vehicle itself and other traffic participants. The device 2 comprises an interface 21 coupled to at least one sensor 3 and adapted to receive sensor data acquired by the at least one sensor 3 . The device 2 also includes a memory 22 which s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a computer-implemented method for predicting a trajectory of a traffic participant. Sensor data acquired by at least one vehicle sensor at a plurality of acquisition times is received. Based on the received sensor data, values of at least one motion parameter of the traffic participant are determined for each acquisition time. The trajectory of the traffic participant is predicted using a stochastic regression algorithm which receives the determined values of the at least one motion parameter of the traffic participant as an input.

Description

technical field [0001] The present application relates to a method and a device for predicting trajectories of road users. The present application also relates to a sensor system. Background technique [0002] Trajectory prediction is an important component of modern driver assistance systems and is crucial for autonomous driving. The main applications are lane estimation, collision avoidance, lane departure prevention, etc. [0003] Trajectory prediction is usually performed under the assumption that some dynamical parameters are constant. For example, it may be assumed that the velocity remains constant over the predicted time interval. Furthermore, a constant acceleration can be assumed, ie the acceleration of the vehicle is constant over the time of interest. A constant rate-of-turn model predicts the future trajectory of a vehicle by assuming that the vehicle's rate of turn or yaw is constant. [0004] DE 10 2013 005 362 A1 discloses a method for analyzing a traffi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G08G1/01
CPCG06Q10/04G06Q50/26G08G1/0125B60W30/0956B60W30/0953B60W60/0016B60W2554/4042B60W2520/10B60W60/00272B60W2520/105B60W2554/4041G01S5/16G01S5/163G01S11/12G01S13/931G01S17/931G08G1/166G01S13/723G06F18/24G08G1/0112G08G1/0133G08G1/0141G08G1/0145G08G1/164G08G1/167G08G1/16B60W2420/403B60W2420/408G06F17/18G08G1/04
Inventor P·L·尤哈斯
Owner ROBERT BOSCH GMBH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com