Lidar Sensor Degradation Detection Using Expected Reflection Failure
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Solution Overview
Problem
Existing methods for detecting lidar sensor degradation are inadequate, particularly in environments with temporary or permanent interference, leading to unreliable operation of autonomous vehicles and robots.
Innovation Solution
A method that tracks objects using lidar pulses, determines failure rates of receiver pixels, and adjusts vehicle operation based on degradation, using failure rates and object distances to identify and compensate for sensor degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing methods are used to detect lidar sensor degradation, then the system can operate in various environments, but the detection reliability is insufficient in environments with temporary or permanent interference
Solution Approach 1:
The method segments the detection process into multiple independent components: tracking objects over time cycles, determining expected reflection positions based on object geometry, calculating failure rates per receiver pixel, and comparing with adjacent pixels. This segmentation allows the system to identify and compensate for interference affecting specific segments without compromising overall detection reliability.
Solution Approach 2:
The system performs preliminary tracking of objects over several time cycles before degradation detection, establishing expected reflection patterns and positions in advance. This preliminary action creates a reference framework that enables reliable detection even when temporary interference occurs during actual measurement, as the system can distinguish between expected and unexpected failures.
2Reliability
If the system adjusts driving operation based on lidar sensor degradation, then safety is improved, but the complexity of the control system increases
Solution Approach 1:
The system implements a feedback loop where degradation information from the lidar sensor is continuously monitored and fed back to adjust the driving operation. The control unit receives degradation data, determines appropriate adjustments to driving behavior, and executes modified operation. This feedback mechanism enables automatic adaptation to sensor degradation while maintaining safety, without requiring complex manual intervention systems.
Solution Approach 2:
The driving operation is made dynamic and adaptable based on real-time degradation detection. The system adjusts driving behavior dynamically according to the measured degradation level, transitioning between different operational modes as needed. This dynamic approach allows the system to maintain optimal safety performance while avoiding the need for overly complex static control architectures.
3Duration of action of stationary object
If the lidar sensor range is reduced due to degradation, then the sensor can continue operating, but the visibility range and detection capability are compromised
Solution Approach 1:
The system applies partial action by adjusting driving behavior specifically according to the degraded performance level rather than completely limiting operation. Instead of stopping the sensor or vehicle when degradation is detected, the system implements proportionate adjustments to driving style and speed, allowing continued operation with modified parameters that account for the reduced visibility range while extending the operational duration of the degraded sensor.
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 reliable and safe operation of autonomous vehicles by adjusting driving styles and speeds according to lidar sensor degradation, enhancing road safety and reducing the impact of temporary or permanent interference.
Implementation Method 1
lidar pulses are emitted by the lidar sensor and reflections of the emitted lidar pulses are detected by the lidar sensor
Implementation Method 2
lidar pulses are emitted by the lidar sensor and reflections of the emitted lidar pulses are detected by the lidar sensor
Data Source
AI summary
Degradation of a lidar sensor is detected using lidar pulses emitted by the lidar sensor. Reflections of the emitted lidar pulses are detected by the lidar sensor and an object, from which lidar pulses are reflected, is detected in the surroundings of the lidar sensor. The detected object is tracked over several time cycles. It is determined, considering the distance of the tracked object to the lidar sensor and the geometry of the tracked object, which lidar pulses should be reflected on the object when it is tracked. A failure rate is determined, the failure rate specifying specifies how often an expected reflection is not detected within a predetermined period of time. Based on the failure rate and the distance to the tracked object, a degradation of the lidar sensor is determined.

