LIDAR Pixel Reallocation for Eye-Safe Long-Range Detection
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Solution Overview
Problem
LIDAR systems in automotive applications face limitations in maximum illumination power due to eye safety regulations, hindering reliable detection of far-away objects under varying environmental conditions.
Innovation Solution
A LIDAR system dynamically allocates subsets of detection elements to form pixels and adjusts amplification parameters based on time of flight and optical budget, enabling enhanced detection sensitivity and compliance with eye safety standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the illumination power of LIDAR systems is increased to improve detection of far-away objects, then the detection range and reliability are improved, but the eye safety regulations are violated due to potential thermal damage to the retina
Solution Approach 1:
The LIDAR system divides the detection field into multiple zones with different illumination power requirements. Far-away objects in distant zones receive higher illumination power to maintain detection reliability, while near-field regions use lower power to ensure eye safety. This spatial segmentation allows the system to optimize detection performance without compromising safety.
Solution Approach 2:
The system applies different illumination power levels to different spatial regions and detection scenarios. High illumination power is selectively applied only when detecting far-away objects where detection reliability is compromised, while near-field detection uses reduced power to maintain eye safety. This local optimization resolves the contradiction between detection reliability and eye safety.
2Object-affected harmful factors
If the illumination power is limited to comply with eye safety regulations, then eye safety is maintained, but the detection sensitivity for far-away objects deteriorates
Solution Approach 1:
The LIDAR system dynamically adjusts illumination power based on real-time detection needs, target distance, and environmental conditions. When far-away objects require enhanced detection sensitivity, the system temporarily increases illumination power within safe limits. This dynamic adaptation allows the system to maintain eye safety while optimizing detection sensitivity when needed.
Solution Approach 2:
The system changes illumination power parameters adaptively based on detection requirements. By adjusting power levels according to target distance, atmospheric conditions, and detection confidence metrics, the system maximizes detection sensitivity for far-away objects while remaining within eye safety boundaries through controlled parameter variation.
3Length of stationary object
If the LIDAR system uses higher illumination power to detect far-away objects, then the detection range is extended, but the risk of thermal damage to the human eye increases
Solution Approach 1:
The detection range is segmented into multiple zones with progressively increasing illumination power. Near-field zones use low power to ensure eye safety, while far-field zones utilize higher power to extend detection range. This zoned approach allows the system to achieve extended detection capability without exposing nearby observers to harmful power levels.
Solution Approach 2:
The system performs preliminary assessment of target distance and environmental conditions before applying high illumination power. By pre-evaluating whether a target is far-away and whether high power is necessary, the system extends detection range only when required, thereby minimizing the risk of thermal damage while maintaining extended range capability when needed.
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 system improves detection sensitivity and reliability in diverse conditions while adhering to eye safety regulations, allowing for accurate object detection and distance measurement.
Implementation Method 1
measuring distances to objects by illuminating objects with light and measuring the reflected pulses with a sensor
Implementation Method 2
measuring distances to objects by illuminating objects with light and measuring the reflected pulses with a sensor
Data Source
AI summary
Systems and methods use LIDAR technology. In one implementation, a LIDAR system includes at least one processor configured to: control activation of at least one light source for illuminating a field of view; receive from at least one sensor having a plurality of detection elements reflections signals indicative of light reflected from objects in the field of view; dynamically allocate a first subset of the plurality of detection elements to constitute a first pixel; dynamically allocate a second subset of the plurality of detection elements to constitute a second pixel; following processing of the first pixel and the second pixel, dynamically allocate a third subset of the plurality of detection elements to constitute a third pixel, the third subset overlapping with at least one of the first subset and the second subset, and differing from each of the first subset and the second subset; and following processing of the first pixel and the second pixel, dynamically allocate a fourth subset of the plurality of detection elements to constitute a fourth pixel, the fourth subset overlapping with at least one of the first subset, the second subset, and the third subset, and differing from each of the first subset, the second subset, and the third subset.