LIDAR Feature Data Lookup for Faster Landmark Detection
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Solution Overview
Problem
Existing object detection systems require time-consuming calculations to determine proper laser transmission and reception amplification factors, leading to inefficiencies in detecting objects with varying reflectance and distance.
Innovation Solution
A feature data structure and control device that utilize configuration information to optimize light emission parameters for precise object detection, allowing for efficient detection of features without the need for continuous measurement adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the device dynamically changes the transmission intensity or reception amplification factor at predetermined time intervals to measure objects with varying reflectance and distance, then the measurement precision is improved, but the detection time increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal transmission intensity and reception amplification factor settings in a lookup table based on object distance and reflectance characteristics. When an object is detected, the system directly retrieves the pre-determined parameters from the table without performing real-time dynamic adjustments, thus maintaining measurement precision while significantly reducing detection time.
2Adaptability or versatility
If the device performs calculations to determine proper laser and reception amplification factors for each detection, then the adaptability to different objects is improved, but the productivity decreases
Solution Approach 1:
The system performs the complex calculation work in advance by creating a comprehensive lookup table that covers various object types, distances, and reflectance values. This pre-computation enables the system to adapt to different objects quickly by simply retrieving the appropriate parameters from the table, thereby maintaining high adaptability while improving detection speed and productivity.
Solution Approach 2:
The patent creates a virtual model of the detection parameters stored in the lookup table, which represents optimal settings for various object conditions. Instead of performing real-time calculations for each detection event, the system copies the pre-determined parameters from this virtual model, enabling rapid adaptation to different objects without repeating the computational process.
3Device complexity
If the device uses fixed transmission intensity and reception amplification factor, then the detection process is simplified, but the measurement precision for objects with varying reflectance and distance deteriorates
Solution Approach 1:
The patent resolves this contradiction by pre-determining the optimal transmission intensity and reception amplification factor combinations for various object conditions and storing them in a lookup table. The control process becomes simple parameter retrieval rather than complex real-time calculation, while the measurement precision is maintained by selecting the most appropriate pre-calculated parameters based on object distance and reflectance characteristics.
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 accurate and efficient detection of objects by determining optimal light emission parameters based on feature data structures, ensuring precise detection results with reduced processing time.
Implementation Method 1
measuring the distance to a peripheral object by emitting a laser light and receiving the reflective light thereof
Implementation Method 2
receiving the reflective light thereof
Data Source
AI summary
An advanced map DB 43 stored on a server device 4 includes pulse type information that is configuration information for detecting a landmark using a LIDAR 2. By sending request information D1 including own vehicle position information, the vehicle mounted device 1 receives response information D2 including pulse type information corresponding to a landmark around the own vehicle position and controls the LIDAR 2 on the basis of the received pulse type information.