Adaptive LiDAR Pulse Scheduling for Variable Range Coverage
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Solution Overview
Problem
Current LIDAR systems face inefficiencies in data collection due to fixed listening windows and power usage, which can lead to reduced resolution and increased power consumption, especially when detecting objects at varying distances.
Innovation Solution
The system dynamically adjusts listening windows and light pulse power based on predicted distances and emission angles, allowing for more frequent data collection and improved resolution by optimizing the light pulse schedule and power distribution across different yaw angles and beam elevations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single fixed range of detection is used, then the device complexity is reduced, but the adaptability to different driving scenarios deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of detection ranges by switching between multiple lidar devices with different detection ranges based on driving scenario requirements. The system transitions from static to dynamic configuration, allowing the detection range to adapt in real-time to different operating conditions such as highway driving versus urban parking, thereby resolving the contradiction between adaptability and device complexity.
Solution Approach 2:
The patent creates a universal detection system that can handle multiple driving scenarios using a standardized lidar platform. By designing the system to support multiple detection ranges through a common architecture with configurable parameters, it achieves multi-functionality without proportionally increasing complexity, as the same hardware foundation serves diverse purposes.
2Adaptability or versatility
If multiple lidar devices with different detection ranges are used, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The patent segments the detection function into multiple specialized lidar devices, each optimized for specific detection ranges (short-range, medium-range, long-range). This segmentation allows each component to be simpler and more efficient at its designated task, while the overall system achieves comprehensive coverage. The segmentation principle resolves the contradiction by distributing complexity across modular units rather than requiring one complex device to handle all ranges.
Solution Approach 2:
The patent employs a nested architecture where lidar devices with different detection ranges are integrated into a unified detection system. The shorter-range lidars are conceptually nested within the broader detection framework of longer-range lidars, sharing common processing infrastructure and control systems. This nesting allows multiple detection capabilities to coexist without linearly increasing overall system complexity.
3Area of stationary object
If the detection range is increased, then the coverage area is improved, but the measurement precision at close range deteriorates
Solution Approach 1:
The patent applies local quality by assigning different detection ranges to different spatial zones. Short-range lidars provide high-precision measurement for close objects, while long-range lidars cover distant areas. Each lidar operates optimally in its designated local zone, ensuring that measurement precision is maintained where it matters most (at close range) while still achieving broad overall coverage through the coordinated network of multiple devices.
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
This approach enhances the spatial and temporal resolution of LIDAR data collection, reduces power usage, and improves the system's ability to detect objects at varying distances, leading to a more efficient and accurate mapping of the environment.
Implementation Method 1
lidar device to detect a first object in a first range of detection
Implementation Method 2
emits a plurality of laser beams... detect reflected light
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
The present disclosure relates to systems and methods that facilitate light detection and ranging operations. An example method includes determining, for at least one light-emitter device of a plurality of light-emitter devices, a light pulse schedule. The plurality of light-emitter devices is operable to emit light along a plurality of emission vectors. The light pulse schedule is based on a respective emission vector of the at least one light-emitter device and a three-dimensional map of an external environment. The light pulse schedule includes at least one light pulse parameter and a listening window duration. The method also includes causing the at least one light-emitter device of the plurality of light-emitter devices to emit a light pulse according to the light pulse schedule. The light pulse interacts with an external environment.