Under ideal conditions, standalone Global Navigation Satellite System (GNSS) technology can deliver positioning results with sufficiently high precision. Nevertheless, it suffers from numerous limitations under special operating conditions and application scenarios. For instance, in complex urban environments, multipath components in observations increase drastically. In more extreme cases, observation dropout may […]
Monthly Archives: June 2026
8 posts
In recent years, visual-inertial odometry has been increasingly adopted by researchers for underwater localization. However, due to the difficulty of obtaining ground truth trajectories in open seas, existing underwater localization datasets often lack complete and high accuracy trajectory references, which limits the application of visual‑inertial odometry in underwater scenarios. To […]
Background Driven by the future demand for precise positioning in applications such as autonomous driving, delivery drones, and the Internet of Things, miniaturized and low-power consumer-grade GNSS chips offer distinct advantages. Typical use cases include rotorcraft platforms subject to strict constraints on the weight and power consumption of GNSS modules […]
Aiming to meet the high-efficiency and high-reliability communication requirements of massive spiking neurons in neuromorphic computing chips, in-depth research has been carried out covering key technologies including spiking neuron signal encoding, on-chip network communication architecture, deadlock-free and congestion-aware on-chip network router design, as well as the toolchain for spiking neural […]
Overview In computer vision, deep learning has become a dominant approach for a broad range of applications, from autonomous driving to surveillance and security. Although deep neural networks have achieved remarkable success in solving complex tasks, research has shown that they are vulnerable to adversarial attacks. Such attacks typically involve […]
With the development of deep learning technology, face recognition has been increasingly applied in a wide range of scenarios. However, due to constraints such as illumination, occlusion, pose, and facial expression, the security and reliability of face recognition systems have long been threatened by spoofing attacks. Using a ToF camera, […]
With the increasing adoption of structured-light and ToF sensing devices in smartphones, tablets, and other devices, the hardware foundation for 3D perception has gradually matured. The 3D market is expected to shift from an emphasis on imaging to an emphasis on perception. Perception, in turn, imposes higher requirements on the […]