Advanced sensors and guidance techniques are required in killing mobile offensive and defensive systems. Many different sensors such as radar, video camera, laser radar (LADAR), millimeter wave systems, infrared imagers, acoustic sensors, etc. are available for such usage. However, no single sensor provides completely satisfactory capabilities. Since some sensors have complementary capabilities, integration of multiple sensors for kill can relax the task difficulty and provide more reliable results. The use of multiple sensors can also reduce the possibility of being defeated by countermeasures. In this study, we investigated the framework and investigated potential techniques for integration and fusion of information from passive millimeter wave (PMMW) and LADAR systems. The focus has been on target detection. The PMMW is used to detect metal objects and the LADAR examines those regions of interest for other evidence of existence of a target. Advances obtained by integrating these two sensors include reduction of task complexity and improvement of reliability, both due to efficient localization of regions of interest from the PMMW. Since PMMW possesses weather penetration capabilities through fog, cloud, smoke, etc., the combined system has a near-all-weather capability. A LADAR provides 3D information, and it should be used as the primary sensor for target acquisition upon target detection. The framework of the fusion is based on the Dempster-Shafer decision method. The fusion may be done in the algorithm level and sensor level. With the Dempster-Shafer method as the framework, new sensors or new decision components can be easily integrated.