This article presents a globally consistent semantic SLAM system (GCSLAM) and a semantic fusion localization subsystem (SF-Loc), achieving accurate semantic map construction and robust localization in complex parking environments. The system utilizes visual cameras (front and surround), IMU, and wheel speed encoders as input sensor configurations. The first part of this work is GCSLAM. GCSLAM … Read more
Click on the above“Beginner’s Guide to Vision” to choose to add a Star or “Pin” Heavyweight content delivered first time This article is reprinted from | New Machine Vision In SLAM research, we usually need to test the performance of various solutions on different datasets. Below we mainly test the performance of six visual SLAM … Read more
Click the button below to follow the 3D Vision Workshop official account and select Star to receive valuable insights promptly. Source: 3D Vision Workshop Add the assistant: cv3d001, note: direction + school/company + nickname, and we will add you to the group. A detailed 3D vision industry subgroup is attached at the end of this … Read more