Abstract: Radiation imaging is an important aspect of nuclear radiation measurement. In the field of radiation safety, typical radiation imaging methods mainly include pinhole imaging, (spatial) coded aperture imaging, time-coded imaging, and Compton scattering imaging, etc, each with its own advantages, disadvantages, and applicable scenarios. Based on the accumulation of existing imaging technology methods and the experience in the development of advanced imaging equipment, this article explores three feasible schemes for the three-dimensional positioning of radiation hotspots, the application of artificial intelligence in the dynamic imaging of radiation hotspots, nuclear identification, and the intelligentization of radiation imaging platforms. It addresses the actual needs of radiation detection (imaging) that is “faster, more accurate, and covers a larger range.” In the research on the three-dimensional positioning of radiation hotspots, a four-eye stereo imaging system has achieved a distance measurement accuracy of less than 20% for radioactive sources at a distance of 100 meters in long-distance imaging scenarios. In indoor scenes, three-dimensional positioning of four radioactive sources has been achieved through three-dimensional scene modeling and radiation field construction. In the application of artificial intelligence algorithms, real-time positioning of moving radiation hotspots has been realized, capable of dynamically tracking and positioning a 14 mCi ¹³⁷Cs radioactive source moving at a speed of 36 km/h at a distance of 25 meters. In the research on neural network nuclear identification algorithms, a feature-enhanced convolutional neural network based on prior energy information has been proposed, which can quickly identify nuclear substances in environments with low counts and mixed nuclear species. In the development of intelligent radiation imaging platforms, an accelerator tunnel environmental inspection robot capable of detecting radiation hotspots has been developed, and a vehicle-mounted radiation emergency monitoring platform has been created. Equipped with multiple detection terminals such as unmanned aerial vehicle (UAV) mounted, vehicle-mounted, and portable gamma cameras, it can quickly mobilize measurements in urban areas during radiation emergencies. The various intelligent radiation imaging technologies presented in this paper enable people to obtain the three-dimensional distribution and nuclear information of radioactive sources more quickly and accurately, providing advanced and efficient radiation detection technical means for radiation environmental assessment, radiation protection, nuclear emergency drills, and decision-making.