Laser Reflector Coding for Accurate Vehicle Type Identification

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Solution Overview

Problem

Autonomous vehicles face challenges in accurately identifying nearby vehicles' types, sizes, and usage due to limitations in existing sensor technologies, which can affect safe navigation and decision-making in various environments.

Innovation Solution

A vehicle identification system that uses a laser device to emit light to vehicles with multiple reflectors, comparing the intensity of reflected laser light to identify the type of vehicle based on the reflectivity of these reflectors, allowing for accurate classification regardless of external environmental changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional sensors (ultrasonic, infrared, RADAR, camera) are used to detect obstacles, then the autonomous vehicle can recognize the presence of nearby vehicles, but the system cannot accurately determine the type, size, and usage properties of the detected vehicles

Engineering Contradiction:
Improvevehicle type identification accuracyVSAvoidvehicle property information
Core Design Contradiction:
Measurement precisionVSLoss of information

Solution Approach 1:

The system segments the vehicle identification process by using multiple reflectors with different reflectivity values disposed at specific positions on the target vehicle. Each reflector encodes specific vehicle property information through its unique reflectivity pattern, enabling the laser sensor to decode vehicle type, size, and usage by analyzing the reflected light intensity from each reflector position

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system changes the optical parameters of the reflectors by using materials with different reflectivity values (e.g., highly reflective, moderately reflective, low reflective materials). This parameter variation allows the laser sensor to distinguish between different vehicle types based on the intensity patterns of reflected light, transforming physical vehicle properties into detectable optical signals

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If multiple reflectors with different reflectivity values are used on the target vehicle, then the vehicle identification system can accurately identify vehicle properties, but the complexity of the target vehicle structure increases

Engineering Contradiction:
Improvevehicle property detection accuracyVSAvoidreflector configuration complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The reflectors serve multiple functions simultaneously: they are standard automotive safety components required by regulation, aesthetic elements that can be integrated into vehicle design, and information encoding devices that convey vehicle property data. This multi-functionality reduces the need for additional dedicated identification components, thereby minimizing structural complexity while achieving accurate vehicle identification

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

3Measurement precision

If laser light intensity comparison is used to identify vehicle types, then accurate vehicle classification is achieved, but the system performance may be affected by external environmental changes

Engineering Contradiction:
Improvevehicle type classification accuracyVSAvoiddetection stability under environmental variations
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The system assigns different local qualities (reflectivity values) to reflectors at specific positions on the vehicle. This local differentiation creates a unique reflectivity pattern for each vehicle type that remains consistent regardless of environmental conditions. The laser sensor detects these localized reflectivity variations, enabling reliable vehicle identification that is invariant to changes in lighting, weather, or viewing angle

Inventive Principle:
Principle #3Local quality

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 precise identification of vehicle properties such as size, type, and usage, enhancing autonomous vehicle navigation by providing critical information for safe travel and decision-making, such as prioritizing access for emergency vehicles.

Implementation Method 1

a laser sensor configured to emit light toward the target vehicle and detect a first reflected light reflected by the first reflector and a second reflected light reflected by the second reflector

Methodology Applied
Scientific EffectLight reflection: Reflection

Data Source

PatentUS11525891B2System for identifying vehicle using laser sensor
Publication Date: 2022.12.13 LG ELECTRONICS INC
  • US11525891B2 patent drawing
  • US11525891B2 patent drawing
  • US11525891B2 patent drawing

AI summary

A vehicle identification system configured to identify a type of a target vehicle includes a first reflector configured to be disposed on an outer surface of the target vehicle, a second reflector configured to be disposed on the outer surface of the target vehicle and spaced apart from the first reflector, and a vehicle identification apparatus configured to identify the type of the target vehicle based on light reflected by the first reflector and the second reflector. The vehicle identification apparatus includes: a laser sensor configured to emit light toward the target vehicle and detect a first reflected light reflected by the first reflector and a second reflected light reflected by the second reflector, and a processor configured to identify the type of the target vehicle based on an intensity of each of the first reflected light and the second reflected light.