Driving Assistance Lane Selection Without HD Maps

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing autonomous driving systems require high computing power and resources to process high-definition maps, making them costly and inefficient, especially for vehicles with limited computational capabilities.

Innovation Solution

A driving assistance system that uses navigation information and camera information to implement autonomous driving, eliminating the need for high-definition maps and reducing computational requirements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high-definition maps are used for autonomous driving, then navigation accuracy and road hazard detection are improved, but computing power requirements and system cost increase

Engineering Contradiction:

Improvenavigation accuracyVSAvoidcomputing power requirement

Core Design Contradiction:

Measurement precisionVSPower

Solution Approach 1:

The patent extracts and removes the dependency on high-definition maps from the autonomous driving system. Instead of using comprehensive HD map data, the system selectively uses only essential navigation information from standard maps combined with real-time camera data, thereby eliminating the need for high computing power while maintaining navigation accuracy.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces expensive, resource-intensive high-definition maps with cheaper, lightweight navigation data from standard maps. This substitution reduces computational requirements and system cost while still providing sufficient navigation functionality for autonomous driving.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

2Reliability

If high-definition maps are used for autonomous driving, then road hazard detection capability is improved, but system cost and data transmission requirements increase

Engineering Contradiction:

Improveroad hazard detection capabilityVSAvoidsystem cost

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces real-time camera data as an intermediary between the navigation system and hazard detection. Instead of relying on pre-stored HD map data for hazard information, the system uses camera feeds to detect road hazards in real-time, combining this with basic navigation data from standard maps to achieve reliable hazard detection at lower system cost.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical system of storing and processing large HD map databases with an optical system using cameras for real-time hazard detection. This substitution reduces system complexity and cost by using sensor-based detection rather than data-intensive map processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If high-definition maps are updated and transmitted via Ethernet, then map data accuracy is improved, but data transmission bandwidth and communication requirements increase

Engineering Contradiction:

Improvemap data accuracyVSAvoiddata transmission volume

Core Design Contradiction:

Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent extracts only the essential navigation elements from map data that are necessary for autonomous driving, discarding the redundant detailed information present in high-definition maps. This extraction approach maintains sufficient navigation accuracy while dramatically reducing the volume of data that needs to be transmitted and stored.

Inventive Principle:

Principle #2Taking out (Extraction)

4Productivity

If more computing resources are allocated for processing high-definition maps, then autonomous driving performance is improved, but energy consumption and hardware cost increase

Engineering Contradiction:

Improveautonomous driving performanceVSAvoidenergy consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent replaces expensive, high-performance computing hardware required for HD map processing with simpler, lower-energy computational resources. By using standard map data combined with real-time camera processing, the system achieves autonomous driving performance with significantly reduced energy consumption and hardware requirements.

Inventive Principle:

Principle #27Cheap short-living objects (Disposable)

Data Source

PatentUS20250074425A1Driving assistance system, vehicle, and computer-readable recording medium

Publication Date: 2025.03.06 HL KLEMOVE CORP

AI summary

A driving assistance system includes a camera module provided in or associated with a vehicle and configured to capture a surrounding image and a controller configured to control driving of the vehicle based on camera information provided from the camera module and navigation information provided from a navigation module or associated with the vehicle, and the controller is configured to compare a distance to a diverging point of a road on which the vehicle is traveling with a reference distance, set a lane closest to the diverging point as a target lane when the distance to the diverging point is less than the reference distance, and control the vehicle to move to the target lane.