Road Environment Recognition Using Radar and Coordinate Calculation

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Solution Overview

Problem

Existing road environment recognition devices primarily focus on detecting forward objects and fail to comprehensively recognize the road environment, lacking the ability to accurately identify and integrate information about roadside structures, lane marks, and vehicle movement.

Innovation Solution

A road environment recognition device equipped with a radar unit, object recognizing elements, traveling amount measuring elements, and coordinate position calculating elements, which emit and receive beams to determine object positions and attributes, calculate vehicle and object coordinates, and integrate this data to recognize the road environment comprehensively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If only forward objects are detected to simplify the recognition process, then the device complexity is reduced, but the road environment recognition completeness deteriorates

Engineering Contradiction:
Improvedetection scopeVSAvoidroad environment information
Core Design Contradiction:
Device complexityVSLoss of information

Solution Approach 1:

The radar unit is configured to detect multiple types of objects (forward objects, roadside structures, lane marks) using the same detection mechanism, enabling the system to comprehensively recognize the road environment without requiring separate specialized sensors for each object type

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If comprehensive road environment detection is implemented to improve recognition accuracy, then the road environment recognition completeness is improved, but the device complexity increases

Engineering Contradiction:
Improveroad environment recognition accuracyVSAvoiddetection system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The radar unit performs multiple detection functions (detecting forward objects, roadside structures, and lane marks) through a single integrated system, achieving comprehensive road environment recognition without proportionally increasing device complexity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines the detection of different road environment elements (forward objects, roadside structures, lane marks) into a unified detection and recognition process, integrating multiple detection functions into a single coordinated system that reduces overall complexity

Inventive Principle:
Principle #5Merging (Combining)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables comprehensive recognition of the road environment, including road shape, lane detection, and vehicle movement, enhancing safety and navigation systems like adaptive cruise control and lane keep assist systems.

Implementation Method 1

a radar unit emits a plurality of beams in a predetermined angle range in a width direction and a height direction of the vehicle, and receives a reflection beam reflected by an object

Methodology Applied
Scientific EffectRadar: Radar

Implementation Method 2

receives a reflection beam reflected by an object

Methodology Applied
Scientific EffectReflection: Reflection

Data Source

PatentUS8694236B2Road environment recognition device and method of recognizing road environment
Publication Date: 2014.04.08 DENSO CORP
  • US8694236B2 patent drawing
  • US8694236B2 patent drawing
  • US8694236B2 patent drawing

AI summary

A radar unit emits beams, and receives a reflection beam reflected by an object. A position of the object relative to a vehicle and an attribute of the object are recognized based on the emitted beams and the reflection beam. A coordinate position of the vehicle in an absolute coordinate is calculated based on a traveling amount of the vehicle, and a coordinate position of the object is calculated based on the calculated position of the vehicle and the position of the object relative to the vehicle. A road environment of the vehicle is recognized based on the coordinate positions and the attribute of the object.