Vehicle Distance Control for Electric Mobility Vehicle Detection

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Solution Overview

Problem

The increasing popularity of electric mobility vehicles poses safety risks due to their small size and unpredictable movements, making accidents more likely, especially when used on roads where they are legally required, and existing systems fail to effectively manage inter-vehicle distances to minimize such incidents.

Innovation Solution

A vehicle control system and method that detects electric mobility vehicles, adjusts inter-vehicle distances based on vehicle size, and issues warnings to drivers to maintain safe distances, using sensors and processors to manage regions of interest and control host vehicle operations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the vehicle maintains a standard inter-vehicle distance, then the driving efficiency is maintained, but the safety risk increases when encountering electric mobility vehicles

Engineering Contradiction:
ImprovesafetyVSAvoiddriving efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system dynamically adjusts the inter-vehicle distance based on the detected object type. When an electric mobility vehicle is detected, the system automatically increases the following distance beyond the standard value, creating a dynamic safety buffer that adapts to the specific risk level of the encountered vehicle type

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the critical parameter of inter-vehicle distance based on the detected object characteristics. By identifying electric mobility vehicles through sensor data analysis, the system modifies the distance parameter from the standard value to an expanded safety distance, thereby resolving the contradiction between maintaining standard driving efficiency and ensuring enhanced safety

Inventive Principle:
Principle #35Parameter changes

2Reliability

If the vehicle increases inter-vehicle distance to avoid accidents, then safety improves, but driving efficiency decreases

Engineering Contradiction:
ImprovesafetyVSAvoiddriving efficiency
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system applies partial action by selectively increasing the inter-vehicle distance only when electric mobility vehicles are detected, rather than maintaining an expanded distance at all times. This targeted approach ensures safety enhancement precisely when needed while avoiding unnecessary time loss during normal driving conditions

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system continuously monitors the environment using sensors and provides feedback on detected objects. Based on this real-time feedback, the system adjusts the inter-vehicle distance dynamically, ensuring that safety measures are activated only when electric mobility vehicles are present in the vicinity, thereby minimizing unnecessary time loss

Inventive Principle:
Principle #23Feedback

3Reliability

If the vehicle detects and responds to electric mobility vehicles, then accident prevention improves, but system complexity increases

Engineering Contradiction:
Improveaccident preventionVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system uses existing multi-functional sensors already present in the vehicle for primary driving functions. These same sensors are leveraged to detect electric mobility vehicles, allowing the system to achieve enhanced accident prevention without adding dedicated detection hardware, thereby minimizing the increase in system complexity

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

Solution Approach 2:

The system utilizes the vehicle's own existing sensor network and processing capabilities to detect and respond to electric mobility vehicles. By self-serving the detection and response functions using already-present components, the system avoids the need for extensive additional hardware and complexity while still achieving improved accident prevention

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12434699B2Vehicle control system and method
Publication Date: 2025.10.07 HL KLEMOVE CORP
  • US12434699B2 patent drawing
  • US12434699B2 patent drawing
  • US12434699B2 patent drawing

AI summary

Disclosed herein are a vehicle control system and method. According to an aspect of the present disclosure, the vehicle control method includes detecting an electric mobility vehicle around a host vehicle to control an inter-vehicle distance between the host vehicle driven by a driver and the electric mobility vehicle, upon detecting the electric mobility vehicle, determining whether the electric mobility vehicle is present in a region of interest, and controlling the host vehicle to maintain a target inter-vehicle distance to the electric mobility vehicle.