Abstract: A data fusion method and apparatus for a LiDAR system includes a source LiDAR and at least one secondary LiDAR for obtaining a first point cloud data set of the LiDAR system at a first time point and a second point cloud data set of the system at a second time point separately; determining candidate transformation matrix sets based on the first point cloud data set, where each candidate transformation matrix set includes candidate transformation matrices for transforming point cloud data of a corresponding secondary LiDAR into a coordinate system of the source LiDAR; selecting a target transformation matrix from candidate transformation matrices in each of the candidate transformation matrix sets based on the second point cloud data set; and fusing point cloud data of the source LiDAR and point cloud data of the at least one secondary LiDAR based on a target transformation matrix corresponding to each secondary LiDAR.

Abstract: This application provides a signal detection method and apparatus, and a radar system, which may be applied to the internet of vehicles, intelligent vehicle, autonomous driving, or intelligent driving field. The signal detection method (700) includes: A first radar transmits a first sounding signal in a first time period of a first frame (710). The first radar transmits a second sounding signal in a second time period of the first frame (720). The first radar receives reflected signals corresponding to the first sounding signal and the second sounding signal (730). The first radar determines a false alarm target based on a difference between a first distance-velocity spectrum and a second distance-velocity spectrum (740). The second sounding signal is a signal obtained through first phase code modulation based on the first sounding signal.

Abstract: Embodiments of this application disclose a resource scheduling method and a related device, to configure a scheduled resource for a terminal device based on a dynamic analog beam determined by a network device, thereby increasing a throughput of the terminal device. The method in embodiments of this application includes: The network device determines, based on information about an SRS of each first terminal device, a set of second terminal devices from a set of first terminal devices and static analog beam information of each second terminal device in the set of second terminal devices. Then, the network device determines beam domain channel information based on the static analog beam information. Therefore, the network device determines dynamic analog beam information of each second terminal device based on the static analog beam information and the beam domain channel information.