Fusion Pipeline

Fusion pipelines integrate data from multiple sensors to enhance perception and decision-making in applications like autonomous vehicles and robotics. Current research emphasizes efficient and robust fusion strategies, exploring recurrent neural networks for temporal data processing and leveraging algorithms like KISS-ICP for real-time LiDAR processing, alongside the development of secure and scalable architectures to address vulnerabilities in multi-agent systems. These advancements are crucial for improving the reliability and safety of autonomous systems and enabling more sophisticated applications in various domains.