In the realms of autonomous driving and robotics, radar sensors are garnering growing interest. Scene understanding is crucial for the safe navigation of autonomous systems. Panoptic segmentation and tracking tasks enable the dynamic, semantic multilevel description of the environment surrounding vehicles and different instances. However, previous panoptic segmentation and tracking methods have primarily focused on LiDAR. To tackle the complex challenge of panoptic segmentation and tracking for radar data, we introduce RadarMask, an innovative method that addresses this issue for the first time within the radar domain. Our approach is end-to-end, requiring no post-processing. We also introduce simple and effective point cloud feature modules and target motion estimation modules tailored to the unique characteristics of radar points. Finally, we demonstrate the effectiveness of our algorithm on the RadarScenes dataset, achieving state-of-the-art performance in comparisons. The implementation of our method can be found at: https://github.com/yb-guo/RadarMask.

Compared with fixed focus cameras, zoom cameras can be used to provide more precise measurements in space tasks. However, the calibration of zoom cameras in this case is a difficulty, as it is not convenient to set up a calibration device on the spacecraft. To solve this problem, the authors present a real‐time zoom camera calibration algorithm based on fixed stars. With the star images captured by the zoom camera, they firstly use a star identification method to recognise the identity of stars. By means a series of coordinate transformation, they are able to build the one‐to‐one mapping between the pixel coordinates and epoch celestial coordinates of the stars. Finally, the internal and external parameters of the zoom camera are obtained based on the thick lens zoom camera model. Simulation and experiment results show that the internal parameters of zoom cameras are rarely affected by the noise of latitude, longitude and time. Furthermore, the calibration precision and robustness of focal length reaches a satisfactory level.