Adaptive Vehicle Control for Varying Perception Precision
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Solution Overview
Problem
Existing vehicle control systems fail to adapt to the varying precision levels of perception systems, leading to impaired performance and instability due to noise and imprecision in sensor measurements, particularly at different distances from detected objects.
Innovation Solution
A control system with an adaptive controller that dynamically activates multiple elementary controllers based on real-time precision indicators, allowing for separate control functions to optimize vehicle performance by minimizing the impact of perception system imprecision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single control device is used to manage all distances of detected vehicles, then the system structure is simple, but the performance deteriorates because the perception system cannot provide precise measurements at all distances
Solution Approach 1:
The patent divides the control device into multiple specialized controllers, each optimized for specific distance ranges. The perception system is segmented into multiple sensors (camera, radar, LIDAR) that cover different detection ranges, with each sensor type handling specific distance zones to ensure precise measurements across all ranges.
Solution Approach 2:
Different controllers are assigned to handle different distance ranges with specialized algorithms and parameters. For example, close-range objects use different detection thresholds and processing methods compared to far-range objects, optimizing measurement precision for each local condition.
2Productivity
If the vehicle travels at high velocity to improve productivity, then the inter-vehicle distance must be increased for safety, but the perception system precision deteriorates at greater distances
Solution Approach 1:
The patent merges multiple sensor types (camera, radar, LIDAR) and multiple controllers into an integrated perception system. This combination allows the system to maintain precise measurements at various distances by utilizing the complementary strengths of different sensors, enabling high-velocity travel with appropriate safety distances.
Solution Approach 2:
The integrated perception system performs multiple functions simultaneously - detecting objects at various distances, classifying them, tracking their motion, and providing control signals. This multi-functional system ensures precise measurement whether the vehicle is traveling at low or high velocity.
3Object-affected harmful factors
If filtering is applied to the perception signal to reduce noise, then the output is smoothed, but the link between system performance and filtering cannot be established and stability is not guaranteed
Solution Approach 1:
The patent implements feedback loops where the perception system continuously monitors detection quality and adjusts filtering parameters accordingly. The control stability is maintained through feedback mechanisms that adapt the filtering level based on current perception conditions, ensuring the link between filtering and system performance is established and stable.
Solution Approach 2:
The filtering parameters are made dynamic rather than static, adapting in real-time to changing perception conditions. The system dynamically adjusts the degree of filtering based on factors such as detection distance, object type, and environmental conditions, maintaining both noise reduction and control stability.
Data Source
AI summary
A system controls a vehicle. The vehicle implements at least one control application using a variable measured by at least one sensor of a perception system installed in the vehicle. The control system includes an adaptive controller to dynamically activate one or more elementary controllers of a set of elementary controllers including at least two elementary controllers, each elementary controller can apply a control function of a vehicle parameter acting on actuators of the vehicle, the control functions being separate, based on a precision indicator of the perception system determined according to a real-time value of the variable.