Click on “Computer Vision Life” above, and select “Star” Quickly get the latest valuable content CMake is a very useful cross-platform automation build tool that programmers have encountered to some extent. Here are some comments about CMake: CMake no longer makes you feel close to collapse when building projects Write once, run everywhere An automation … Read more
Author: Wu Qi This one-minute tutorial mainly takes you through the relevant knowledge of CMakeLists. When we usually receive a SLAM source code, we often rely on the following commands: mkdir build && cd build cmake .. make -j Or: catkin_make All these compilation commands rely on a special file in the source code called … Read more
Click on “Computer Vision Life” above and select “Star”. Quickly obtain the latest content. The SLAM Study Group has summarized all previous live streams, including videos and PPTs, for everyone’s secondary learning. Topic: “Application and Practice of CMake” Content: Using CMake, common commands, practical examples. Guest:Master’s from Jilin University, responsible for intelligent driving software system … Read more
Introduction SLAM (Simultaneous Localization and Mapping) technology has become a core capability in the field of robotics, enabling navigation and autonomous movement. With the rise of the Internet of Things (IoT), integrating SLAM with IoT not only expands the application boundaries of SLAM but also enhances the intelligence level of IoT systems, allowing them to … Read more
Click the above “Beginner’s Visual Learning“, select to add “Star” or “Top“ Important content delivered first hand This article is a collection of Python codes for various robotics algorithms, particularly for autonomous navigation. Its main features include: widely used algorithms in practice; minimal dependencies; easy to read and understand the basic ideas of each algorithm. … Read more
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