Vehicle Distance Control Using LiDAR Dispersion Analysis

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Solution Overview

Problem

Autonomous driving vehicles face challenges in accurately sensing the distance to a front vehicle, particularly when the front vehicle has a great height, leading to potential safety issues due to incorrect distance measurements.

Innovation Solution

The vehicle employs a distance sensor, such as a multi-layer LiDAR device, and a processor to determine the height of the front vehicle by calculating longitudinal dispersion values and maintaining a predetermined distance to ensure accurate sensing and safe following, even when the front vehicle is taller, like a truck.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the distance sensor uses a standard sensing method, then the device complexity is low, but the measurement precision deteriorates when the front vehicle has a great height

Engineering Contradiction:
Improvedistance measurement precisionVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary analysis of distance sensor data to calculate longitudinal dispersion values before making distance determination decisions. This preliminary calculation of dispersion statistics allows the system to identify tall vehicles ahead and adjust sensing strategies in advance, improving measurement precision without adding complex hardware

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts the following distance based on the calculated longitudinal dispersion value. When dispersion exceeds a threshold indicating a tall vehicle, the system automatically increases the maintained distance. This dynamic adaptation resolves the contradiction by making the sensing system flexible rather than static, improving precision for varying vehicle heights without permanent complexity

Inventive Principle:
Principle #15Dynamics

2Reliability

If the vehicle maintains a fixed following distance, then the ease of operation is high, but the reliability deteriorates when the front vehicle height varies

Engineering Contradiction:
Improvesafety reliabilityVSAvoidcontrol simplicity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system implements a feedback mechanism where distance sensor data is continuously analyzed, longitudinal dispersion is calculated, and the following distance is adjusted accordingly. This closed-loop feedback ensures safety reliability by automatically responding to tall vehicles while maintaining operational simplicity through automated control without driver intervention

Inventive Principle:
Principle #23Feedback

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

This solution enables accurate distance sensing and maintains safety by correctly determining the height of the front vehicle and adjusting the following distance, thereby preventing safety issues associated with incorrect distance measurements in autonomous driving modes.

Implementation Method 1

The distance sensor may include a multi-layer light detection and ranging (multi-layer LiDAR) device

Methodology Applied
Scientific EffectLight detection and ranging (LiDAR): LIDAR

Data Source

PatentUS10604154B2Vehicle and method of controlling the same
Publication Date: 2020.03.31 HYUNDAI MOTOR CO LTD
  • US10604154B2 patent drawing
  • US10604154B2 patent drawing
  • US10604154B2 patent drawing

AI summary

A vehicle adjusts a distance between a subject vehicle and a front vehicle according to a height of the front vehicle. The vehicle includes a distance sensor, and a processor which determines data of the front vehicle among data obtained by the distance sensor, and maintains a distance to the front vehicle equal to or more than a predetermined distance when a longitudinal dispersion value of the determined data is a predetermined reference value or more.