Automotive Sensor Integration Module Synchronization
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) and autonomous vehicles face challenges in synchronizing object detection across sensors disposed at different positions, which affects performance and can be further hindered by environmental factors and sensor contamination.
Innovation Solution
An automotive sensor integration module that synchronizes detection data from multiple sensors with different sensing periods and output formats, calculates reliability values based on detection data and external environment data, and outputs these as reliability data to improve object identification and sensor maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If sensors are disposed at different positions to detect objects, then the detection coverage is improved, but the synchronization of detection data becomes difficult
Solution Approach 1:
A synchronization unit is introduced as an intermediary component that receives detection data from multiple sensors disposed at different positions and synchronizes their output timings. This mediator resolves the synchronization difficulty by coordinating the data streams from cameras, lidars, and radar sensors, enabling reliable integrated object detection despite the spatial distribution of sensors.
2Measurement precision
If multiple types of sensors are used to improve object identification accuracy, then the detection precision is improved, but the complexity of data processing increases
Solution Approach 1:
Multiple types of sensors (camera, lidar, radar) with different sensing periods and data formats are merged into a unified detection system. The synchronization unit integrates their outputs, and a signal processing unit harmonizes the different data formats and timing, enabling accurate object identification while managing processing complexity through systematic integration.
Solution Approach 2:
The sensor integration module is designed with universal functionality to handle multiple sensor types with different characteristics. The system can process data from cameras, lidars, and radar sensors simultaneously, adapting to various sensing periods and output formats through a standardized interface, thereby improving object identification accuracy without requiring separate processing systems for each sensor type.
3Productivity
If sensors operate with different sensing periods, then each sensor can optimize its operation, but the synchronization of output data becomes difficult
Solution Approach 1:
The synchronization unit employs dynamic timing adjustment to handle sensors with different sensing periods. Rather than forcing all sensors to operate at a fixed frequency, the system dynamically adapts to each sensor's optimal operation period while coordinating their output timings, thereby maintaining both operational efficiency and data synchronization reliability.
Data Source
AI summary
An automotive sensor integration module including a plurality of sensors which differ in at least one of a sensing period or an output data format, and a signal processor, which simultaneously outputs, as sensing data, pieces of detection data respectively output from the plurality of sensors on the basis of the sensing period of any one of the plurality of sensors, calculates a reliability value of each of the pieces of detection data on the basis of the pieces of detection data and external environment data, and outputs the reliability value as reliability data.