Navigation Apparatus Using Reference Driving Data for Unmanned Vehicles
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Solution Overview
Problem
Current automatic driving systems for unmanned vehicles face challenges in accurately recognizing driving environments and detecting nearby objects due to issues with lighting changes and object discrimination, leading to frequent errors in tracking and navigation.
Innovation Solution
A navigation apparatus and method that utilize a global positioning system (GPS) and a reference driving information database to generate driving route information, including reference driving lines and speeds, which allows for accurate route planning and obstacle avoidance, enabling reliable unmanned automatic driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensors (radar, ridar, image sensor) are used to detect drivable sections and generate driving routes in real time, then autonomous driving capability is achieved, but measurement precision deteriorates due to lighting changes and object discrimination difficulties
Solution Approach 1:
The patent applies preliminary action by pre-storing reference driving routes and reference object positions in a database before actual driving operations. During autonomous driving, the system retrieves and compares real-time sensor data against these pre-established references, allowing the vehicle to navigate accurately without relying solely on real-time object detection, thereby overcoming lighting changes and detection precision issues
Solution Approach 2:
The patent uses copying by creating and storing reference copies of driving routes and object positions in advance. These reference copies serve as templates that the autonomous driving system can reference and follow, eliminating the need for perfect real-time detection and tracking, thus resolving the contradiction between automation and measurement precision
2Extent of automation
If real-time driving route generation using sensors is implemented, then autonomous driving function is provided, but reliability deteriorates due to frequent tracking errors and mistaken object recognition
Solution Approach 1:
The patent implements feedback by continuously comparing real-time sensor detection results with pre-stored reference driving routes and reference object positions. When deviations are detected, the system corrects its trajectory and object tracking based on the reference data, ensuring reliable autonomous driving performance even in challenging environmental conditions
Solution Approach 2:
By pre-establishing reference driving routes and object position data before driving operations, the system creates a reliable framework that guides autonomous navigation. This preliminary preparation ensures that the autonomous driving function operates reliably by having predetermined correct paths and object locations to follow, reducing tracking errors and mistaken recognition
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
The solution effectively enables accurate navigation and obstacle avoidance by using reference driving information to determine driving lines and speeds, improving the reliability and commercial viability of unmanned automatic driving systems.
Implementation Method 1
a global positioning system (GPS) receiver for receiving a position value of a vehicle from a satellite
Data Source
AI summary
An automatic driving system includes: a reference driving information database for storing reference driving information including reference driving lines, reference driving speeds, and lane change information; and a navigation apparatus for searching a driving route from a starting point to a destination by using a position value of a vehicle and generating driving route information by reflecting the reference driving information in the searched driving route. The automatic driving system further includes a vehicle controller for determining a driving line and a driving speed by using the generated driving route information and performing unmanned automatic driving along the determined driving line at the determined driving speed.