Trajectory prediction method and device

A trajectory prediction and trajectory technology, applied in transportation and packaging, two-dimensional position/channel control, vehicle position/route/altitude control, etc., can solve the problem of low vehicle trajectory accuracy, lack of training network interpretability, and neglect. problems such as time continuity in driving situations to achieve the effect of ensuring time continuity and improving accuracy

Active Publication Date: 2018-11-13
SHENZHEN UNIV
View PDF5 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, most current works either use static images to extract visual-semantic messages, or adopt an end-to-end structure to learn driving networks, the former ignores tem

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
  • Trajectory prediction method and device
  • Trajectory prediction method and device
  • Trajectory prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0014] see figure 1 , figure 1 It is a schematic diagram of the implementation flow of the trajectory prediction method provided by the first embodiment of the present invention, and the method is applied to a vehicle equipped with a vehicle-mounted camera. Such as figure 1 As shown, the trajectory prediction method mainly includes the fol...

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 embodiment of the invention provides a trajectory prediction method and device, and relates to the field of local navigation of robots and intelligent vehicles. The trajectory prediction method and device are applied to a vehicle provided with an in-vehicle camera. The method comprises the following steps: photographing a surrounding environment using the in-vehicle camera to acquire a video sequence including a surrounding vehicle and a vehicle background; positioning the surrounding vehicle from the video sequence and extracting the historical trajectory information of the surrounding vehicle, and using scene semantic information obtained by performing image segmentation on the video sequence as auxiliary information; and inputting the historical trajectory information and the auxiliary information into a neural network model to obtain a predicted trajectory of the surrounding vehicle. The trajectory prediction method can improve the accuracy of prediction of vehicle trajectories.

Description

technical field [0001] The invention relates to the field of local navigation of robots and intelligent vehicles, in particular to a trajectory prediction method and device. Background technique [0002] During vehicle driving, it is very important to predict the future trajectories of other traffic participants to avoid the autonomous vehicle from crashing into other vehicles. Assuming that all traffic participants obey the traffic rules and human drivers can subconsciously predict the future trajectory of the target, for autonomous vehicles, the method of building a model is usually used to predict the future trajectory of other traffic participants. [0003] However, most current works either use static images to extract visual-semantic messages, or adopt an end-to-end structure to learn driving networks, the former ignores temporal continuity in driving situations, and the latter lacks the interpretability of training networks, thus causing The problem of low accuracy i...

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
IPC IPC(8): G05D1/02
CPCG05D1/0221G05D1/0251G05D1/0276G05D2201/02
Inventor 邹文斌周长源吴迪王振楠唐毅李霞
Owner SHENZHEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products