LIDAR Sensor Signal Overlap for High Resolution
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Solution Overview
Problem
High-resolution LIDAR sensors require a large number of transmission/reception sets, making them costly to configure without increasing hardware.
Innovation Solution
A LIDAR sensor apparatus that overlaps signals from multiple receivers to calculate distances to a virtual detection area using signal processing, including a transmitter, receivers, a control unit for signal processing, and an output unit, which generates and processes overlapping signals to improve resolution without additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a larger number of transmission/reception sets are used to achieve high resolution, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual transmission/reception set by copying and combining signals from existing physical receivers. The control unit generates a virtual signal that represents what a physical receiver at a virtual position would detect, allowing the system to achieve high-resolution detection without physically installing additional expensive transmission/reception sets.
Solution Approach 2:
The control unit acts as an intermediary that processes and combines signals from multiple physical receivers to generate virtual detection data. By using signal processing techniques, the control unit mediates between the limited physical hardware and the desired high-resolution output, creating intermediate virtual detection points that fill gaps between physical receivers.
2Measurement precision
If a larger number of transmission/reception sets are used to achieve high resolution, then measurement precision is improved, but cost increases
Solution Approach 1:
Instead of purchasing additional physical transmission/reception sets, the system creates virtual copies of detection capabilities through signal processing. The control unit generates virtual detection signals that replicate the functionality of additional hardware, thereby achieving high resolution without the associated cost of acquiring and installing more physical components.
Solution Approach 2:
The patent replaces the mechanical approach of adding more physical transmission/reception sets with a signal processing approach. Instead of physically installing additional expensive hardware, the system uses computational methods to synthesize virtual detection data, substituting mechanical hardware expansion with intelligent software-based signal manipulation.
3Device complexity
If signal processing is used to overlap signals from multiple receivers, then device complexity is reduced, but measurement precision may be compromised
Solution Approach 1:
The control unit uses feedback mechanisms to continuously adjust and optimize the signal processing algorithm. By analyzing the combined signals from multiple receivers and comparing them against expected patterns, the system refines its virtual detection calculations in real-time, ensuring that the simplified hardware configuration still achieves high measurement precision through intelligent adaptive processing.
Solution Approach 2:
The signal processing approach is designed to be dynamic and adaptive rather than static. The control unit adjusts processing parameters based on signal quality, receiver positioning, and detection conditions, allowing the system to maintain high precision across varying operational conditions despite using fewer physical components. The virtual detection positions and signal combination methods are dynamically optimized.
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
Enhances the resolution of LIDAR sensors by calculating intermediate distances between receivers through signal processing, reducing the need for multiple hardware sets and lowering costs.
Implementation Method 1
a light detection and ranging (LIDAR) sensor is a sensor that measures a distance and senses an object by using light (for example, laser)
Implementation Method 2
first and second receivers each configured to receive a reflected signal reflected from an object after the laser is transmitted through the transmitter
Data Source
AI summary
A LIDAR sensor apparatus and a control method thereof. The LIDAR sensor apparatus includes a transmitter configured to transmit a laser, first and second receivers each configured to receive a reflected signal reflected from an object after the laser is transmitted through the transmitter, a control unit configured to calculate first and second distances by performing signal processing on first and second signals received from the first and second receivers after the laser is transmitted through the transmitter, and to calculate an intermediate distance by performing signal processing on an overlapping signal obtained by overlapping the first and second signals, and an output unit configured to output the first and second distances and the intermediate distance calculated by the control unit.