Video Object Tracking via Relative Position Updates for Auto Parking

Solution Overview

Problem

Current autonomous driving technologies face challenges in efficiently tracking objects, especially multiple targets, due to complex algorithms and high computing resource requirements, which can lead to errors in path planning and execution.

Innovation Solution

A method that determines a relative position relationship between objects in a video frame sequence and updates the position of secondary objects based on this relationship and the position of primary objects, reducing the need for continuous identification and location of all objects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If complex algorithms are used to track multiple targets continuously, then tracking coverage is improved, but computing resource consumption increases and tracking precision deteriorates due to error accumulation

Engineering Contradiction:

Improvetracking coverageVSAvoidtracking precision

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent segments the tracking task by dividing targets into stationary objects (whose positions are continuously tracked) and moving objects (whose positions are updated relative to stationary objects). This segmentation allows the system to apply different tracking strategies to different object types, reducing overall computational complexity while maintaining tracking precision for both categories.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces stationary objects as intermediary reference points between the camera and moving objects. By establishing a coordinate system based on stationary objects and using them as mediators to transform coordinates of moving objects, the system avoids direct continuous tracking of all objects, thereby reducing error accumulation and computing resource consumption.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If complex algorithms are used to track multiple targets continuously, then tracking coverage is improved, but device complexity increases

Engineering Contradiction:

Improvetracking coverageVSAvoidalgorithm complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent segments the tracking task by dividing targets into stationary objects (whose positions are continuously tracked) and moving objects (whose positions are updated relative to stationary objects). This segmentation allows the system to apply different tracking strategies to different object types, reducing overall computational complexity while maintaining tracking precision for both categories.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces stationary objects as intermediary reference points between the camera and moving objects. By establishing a coordinate system based on stationary objects and using them as mediators to transform coordinates of moving objects, the system avoids direct continuous tracking of all objects, thereby reducing error accumulation and computing resource consumption.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If continuous tracking of all objects is performed, then tracking coverage is improved, but computing resource consumption increases

Engineering Contradiction:

Improvetracking coverageVSAvoidcomputing resource consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent segments the tracking task by dividing targets into stationary objects (whose positions are continuously tracked) and moving objects (whose positions are updated relative to stationary objects). This segmentation allows the system to apply different tracking strategies to different object types, reducing overall computational complexity while maintaining tracking precision for both categories.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces stationary objects as intermediary reference points between the camera and moving objects. By establishing a coordinate system based on stationary objects and using them as mediators to transform coordinates of moving objects, the system avoids direct continuous tracking of all objects, thereby reducing error accumulation and computing resource consumption.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentEP4068205B1Method for tracking object within video frame sequence and apparatus therefor

Publication Date: 2025.06.11 NIO TECH ANHUI CO LTD

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AI summary

The invention relates to automobile intelligent driving technologies, and in particular, to a method for tracking an object within a video frame sequence, an automatic parking method, an image processing apparatus for implementing the foregoing methods, a vehicle controller, and a computer-readable storage medium. A method for tracking an object within a video frame sequence according to an aspect of the invention is provided, the video frame sequence including at least one first video frame and at least one second video frame that are captured by an onboard image obtaining apparatus, where the second video frame is later than the first video frame in terms of time, and the method includes the following steps: determining a relative position relationship between a first object and a second object based on the first video frame, where the relative position relationship remains unchanged within the video frame sequence; and updating a position of the second object based on the relative position relationship and a position of the first object that is determined based on the second video frame.