![]() Potential IP "1.3.0.5" found in string "\par Ashampoo BurnYa DataCD 1.3.0.5" Potential IP "4.4.0.5" found in string "\par Ashampoo CD Recording Suite 4.4.0.5" Potential IP "1.1.0.9" found in string "\par Ashampoo PowerUp XP Platinum 1.1.0.9" Potential IP "2.0.0.0" found in string "\par AweVBank 98 RV 2.0.0.0 : Key: xu98NnOFuW0D-&Z%jMAHaPtb%7YVH1ohaCYwh-&7cnwbFTjfEzlGSxCzINNftj-xZihb3ZIl0duX82QexsdivKo-2TDK&UvO3kHH" Removes Office resiliency keys (often used to avoid problems opening documents)Īdversaries may attempt to get a listing of open application windows.Īdversaries may target user email to collect sensitive information from a target.įound a potential E-Mail address in binary/memory Microsoft Office is a fairly common application suite on Windows-based operating systems within an enterprise network.Ĭontains embedded VBA macros with keywords that indicate auto-execute behaviorĬontains embedded VBA macros (normalized)Īdversaries may interact with the Windows Registry to hide configuration information within Registry keys, remove information as part of cleaning up, or as part of other techniques to aid in Persistence and Execution. Installs hooks/patches the running process Windows processes often leverage application programming interface (API) functions to perform tasks that require reusable system resources. Finally, the key issues and the future development trend of visual SLAM technologies for autonomous driving vehicles applications are discussed.An adversary may rely upon specific actions by a user in order to gain execution.Ĭontains embedded VBA macros with interesting stringsĬontains embedded VBA macros with suspicious keywords ![]() visual-inertial, visual-LIDAR, visual-LIDAR-IMU) SLAM are completely reviewed, as well the positioning accuracy of our previous work are compared with the well-known frameworks on the public datasets. Secondly, the state-of-the-art studies of visual and visual-based (i.e. In particular, we firstly illustrated the typical structure of visual SLAM. Based on the current research situation of visual SLAM, this review covers the visual SLAM technologies. ![]() Indeed, people are trying to replace LIDAR sensors with camera only, or integrating other sensors on the basis of camera in the field of autonomous driving. Compared with the LIDAR based schemes, the visual SLAM has a strong scene recognition ability with the advantages of low cost and easy installation. However, through ten or twenty years of evolution, the LIDAR-SLAM method does not seem to have changed much. Light Detection and Ranging (LIDAR) and camera sensors are commonly used for localization and perception. In this context, Simultaneous Localization and Mapping (SLAM) technology is a well-study settlement. Autonomous driving vehicles require both a precise localization and mapping solution in different driving environment.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |