Motor Vehicle Sensor Alignment for Roadway Excitation
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Solution Overview
Problem
Modern motor vehicles face challenges in adapting vehicle movement dynamics to high-frequency roadway excitations due to limited time for sensing and processing roadway status, requiring high-resolution and precise positioning of wheel contact points to improve driving comfort.
Innovation Solution
A method for controlling a motor vehicle that involves receiving status data of a roadway section, including GPS data, and using surroundings sensors to sense and analyze particular roadway features, allowing for focused data processing and adaptive measures to enhance driving comfort, such as aligning sensors with critical features and updating status data for improved route planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If high-frequency roadway excitations are used to adapt vehicle movement dynamics, then driving comfort is improved, but the time for sensing and processing roadway status becomes insufficient
Solution Approach 1:
The system performs preliminary sensing of roadway status using multiple sensors (cameras, LIDAR, microphones) before the vehicle reaches the problematic section. This advance detection allows the control system to pre-adjust suspension parameters and prepare for upcoming roadway irregularities, eliminating the need for rapid real-time processing during high-frequency excitations.
Solution Approach 2:
The patent transitions from single-point roadway status detection to multi-dimensional sensing by deploying sensors at multiple locations (front, rear, left, right) of the vehicle. This spatial distribution provides comprehensive roadway information earlier, enabling the system to process data from multiple dimensions simultaneously rather than sequentially, thus reducing overall processing time.
2Ease of operation
If high-resolution and precise positioning of wheel contact points is implemented, then driving comfort is improved, but system complexity increases
Solution Approach 1:
The patent employs multi-functional sensor systems that serve multiple purposes: cameras detect roadway geometry and obstacles, LIDAR provides both distance measurement and surface topology, and microphones detect both acoustic signals and vibration patterns. This multi-functionality reduces the need for separate specialized sensors for each measurement type, thereby managing system complexity while achieving high-resolution roadway status detection.
Solution Approach 2:
The system introduces an intermediary processing layer that aggregates and correlates data from multiple sensors before presenting processed information to the control system. This intermediary layer simplifies the complexity by pre-processing and filtering sensor data, extracting only the critical roadway features needed for suspension control, thus reducing the computational burden on the main control system.
3Measurement precision
If multiple surroundings sensors are used to sense roadway section, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple sensor types (optical cameras, LIDAR, acoustic microphones, vibration sensors) into an integrated roadway detection system. By merging these different sensing modalities, the system achieves comprehensive roadway status measurement with high precision, while the unified sensor platform manages complexity through shared processing and control architecture.
Data Source
AI summary
A method controls a first motor vehicle. The method includes the steps of: i) receiving status data of a roadway section and a geographic position of the roadway section by the first motor vehicle, ii) sensing, as a function of the received status data, the roadway section by a surroundings sensor of the first motor vehicle, and in response thereto, iii) aligning the surroundings sensor with a particular roadway feature of the roadway section, and/or iv) adapting an evaluation of data of the surroundings sensor, and/or v) updating the status data and transmitting the updated status data.