Configurable ASIC Sensor Architecture for Autonomous Navigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current LIDAR and sensor systems in autonomous navigation face challenges in providing accurate, timely, and efficient data processing and configuration, which can lead to delays and errors in decision-making, especially when integrating multiple sensor types and environments.
Innovation Solution
The implementation of configurable ASIC-based sensor architectures that allow for dynamic sensor module configuration, data multiplexing, and calibration, enabling efficient data processing and correlation across diverse sensors, including LIDAR, thermal, and infrared sensors, to provide unified data packets for enhanced navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensor types are integrated into a unified system, then the accuracy and completeness of environmental representation is improved, but the device complexity and data processing burden increase
Solution Approach 1:
The patent combines multiple sensor types (LIDAR, thermal, infrared, visible light) into a single sensor module with a unified ASIC architecture. This merging approach integrates diverse sensing functions while sharing common processing resources, reducing overall system complexity despite the increased sensor diversity.
Solution Approach 2:
The ASIC is designed with configurable, multi-functional capabilities that can process data from different sensor types through a unified architecture. The sensor module can dynamically configure which sensors are active and how their data is processed, providing universal handling for multiple sensor modalities within a single processing unit.
2Adaptability or versatility
If configurable ASIC architecture is implemented, then the adaptability and efficiency of data processing is improved, but the manufacturing complexity and initial development time increase
Solution Approach 1:
The ASIC employs dynamic configuration capabilities where sensor modules can be programmed and reconfigured at runtime to activate specific sensors and processing pipelines based on operational requirements. This dynamic adaptability allows the same hardware to serve multiple sensing modalities without requiring separate fixed-architecture chips for each sensor type.
3Speed
If real-time data processing is implemented across multiple sensors, then the responsiveness and speed of decision-making is improved, but the power consumption and computational load increase
Solution Approach 1:
The processing architecture is segmented into distributed processing units within the ASIC, where each sensor type has dedicated processing resources that can operate independently. This segmentation allows parallel processing of multiple sensor streams simultaneously, achieving real-time performance while optimizing power usage by activating only the necessary processing paths for currently active sensors.
Data Source
AI summary
The present disclosure relates generally to systems and methods for configuring architectures for a sensor, and more particularly for light detection and ranging (hereinafter, “LIDAR”) systems based on ASIC sensor architectures supporting autonomous navigation systems. Effective ASIC sensor architecture can enable an improved correlation between sensor data as well as configurability and responsiveness of the system to its surrounding environment and avoid any unnecessary delay within the decision-making process that may result in a failure of the autonomous driving system. It may be essential to integrated multiple functions within an electronic module and implement the functionality with one or more ASICs.