基于FPGA的多传感器融合技术

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Multi-sensor fusion is an inevitable trend in autonomous driving, facing various challenges [38] - FPGA technology offers significant advantages in addressing multi-sensor fusion needs, including high throughput, support for various protocols, and bandwidth capabilities [38] - FPGA also provides low latency advantages, enabling efficient processing and response [38] - The technology supports multiple types of data fusion, enhancing algorithm performance and reducing data processing rates [38] - FPGA ensures redundancy, safety, and reliability, complying with functional safety standards [38] Summary by Sections Multi-Sensor Fusion Definition, Advantages, and Challenges - Sensor fusion is part of domain controllers, integrating inputs from multiple sensors (radar, LiDAR, cameras) to create a unified model of the vehicle's environment, improving accuracy by balancing sensor strengths [13] Benefits of Multi-Sensor Fusion - Sensor fusion enhances safety through redundancy, improves model accuracy and decision speed, increases system integrity, and expands coverage of the field of view [16] Challenges of Multi-Sensor Fusion - Challenges include safety concerns, the need for low latency and faster processing, redundancy requirements, complexity in handling diverse sensor types and protocols, and efficiency issues related to bandwidth and data fusion [19] FPGA Advantages in Multi-Sensor Fusion - FPGA provides high throughput and supports various I/O types, enabling flexible configurations for memory or sensor interfaces [22] - FPGA's low latency is achieved through custom instructions, on-chip memory, and high parallelism, allowing for efficient data processing [27][28] - FPGA supports various data fusion approaches, balancing complexity and performance, with a growing trend towards raw data fusion for superior algorithm performance [30] Redundancy and Reliability of FPGA - FPGA meets functional safety standards such as ISO26262 ASIL-D, ensuring reliability and safety in automotive applications [34]