Adaptive LiDAR Processing for Multi-Type Autonomous Vehicle Sensors
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Solution Overview
Problem
Existing LIDAR systems in autonomous vehicles require specific software and hardware configurations for different types, leading to inefficiencies and increased maintenance efforts, as they lack adaptability to varying LIDAR units.
Innovation Solution
An adaptive LIDAR data processing system that dynamically configures itself based on the type of LIDAR unit connected, supporting multiple types, establishing communication, applying time synchronization, operation modes, and motion compensation, and converting pre-processed data to raw data for efficient integration with the host system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specific software and hardware configurations are used for different LIDAR types, then each LIDAR type can be properly processed, but system complexity and maintenance efforts increase
Solution Approach 1:
The patent implements a universal LIDAR processing system that can handle multiple LIDAR types (spinning mechanical, MEMS flashing, solid state) through a single unified architecture. The host system uses a standardized interface and processing pipeline that automatically adapts to different LIDAR types, eliminating the need for separate dedicated systems for each LIDAR variant.
Solution Approach 2:
The system dynamically adjusts processing parameters based on the detected LIDAR type. When a LIDAR unit connects, the system identifies its type and configures appropriate processing parameters, scan patterns, and data interpretation methods, allowing one system to handle multiple LIDAR types through parameter adaptation rather than structural complexity.
2Manufacturing precision
If separate processing systems are used for each LIDAR type, then each type is optimized, but adaptability and ease of maintenance deteriorate
Solution Approach 1:
The host system is designed as a universal platform that can connect to and process data from multiple LIDAR types through a standardized interface. The system maintains processing precision for each LIDAR type by implementing type-specific processing algorithms within the unified architecture, allowing it to adapt to different LIDAR technologies without sacrificing data quality.
Solution Approach 2:
The patent introduces an intermediary layer between the physical LIDAR units and the processing system. This intermediary handles type-specific protocols and conversions, translating various LIDAR types into a standardized format that the host system can process uniformly, thereby maintaining precision while enhancing adaptability.
3Adaptability or versatility
If multiple LIDAR units of different types are connected, then system versatility improves, but communication establishment and synchronization become more difficult
Solution Approach 1:
The system automatically detects the type of each connected LIDAR unit and dynamically configures communication parameters, data rates, and synchronization protocols specific to each type. This parameter adaptation simplifies the establishment of communication with diverse LIDAR units, as the system handles type-specific configurations automatically rather than requiring manual setup for each device.
Data Source
AI summary
In an embodiment, an autonomous driving vehicle (ADV) determines a LIDAR type, from of a plurality of LIDAR types, of a LIDAR unit. Responsive to determining the LIDAR type of the LIDAR unit, the ADV configures an adaptive LIDAR data processing system based on the LIDAR type. The adaptive LIDAR data processing system supports each one of the plurality of LIDAR types. In turn, responsive to configuring the adaptive LIDAR data processing system, the ADV establishes communication between the LIDAR unit and a host system using the adaptive LIDAR data processing system.