semantic_slam_nav_ros是针对带有RGBD相机的服务机器人和物流机器人等的功能强大的软件包。它具有多项关键功能,包括语义地图构建、定位导航、三维重构、重定位、动态物体识别、移动避障、手势识别、人脸识别、以及语音合成与识别等特性。该软件包通过RGBD相机捕获环境信息,并利用先进的SLAM技术构建语义地图,实现精准的定位...
SLAM+语音机器人DIY系列:(七)语音交互与自然语言处理——2.机器人语音交互实现... 2.2.编译安装讯飞语音交互实例ROS版DEMO 利用科大讯飞提供的SDK库文件和官方API说明文档,我们就可以开发出自己的语音交互实例程序,当然也可以开发对应的ROS程序。在我们的miiboo...使用科大讯飞的LinuxSDK库,就需要另外申请。其实申请方...
Section 2 describes the state of the art on underwater SLAM, object recognition and semantic mapping. Section 3 describes the object recognition pipeline from the segmentation of the scans to the Bayesian recognition. Section 4 describes the feature-based SLAM for object and pipe feature tracking....
Semantic SLAM This on-going project is Semantic SLAM using ROS, ORB SLAM and PSPNet101. It will be used in autonomous robotics for semantic understanding and navigation. Now the visualized semantic map with topological information is reachable, where yellow represents buildings and constructions, green...
https://github.com/ivipsourcecode/DS-SLAM https://github.com/Ewenwan/ORB_SLAM2_SSD_Semantic https://github.com/MRwangmaomao/semantic_slam_nav_ros https://github.com/gaoxiang12/ORBSLAM2_with_pointcloud_map https://github.com/abhineet123/ORB_SLAM2 ...
The proposed key point filtering technique has demonstrated an improvement in the average inference speed, achieving a speedup of 2.6脳 and improving the average distance to the ground truth compared to the original DOPE algorithm.Roch, Jesse
Kim, G., & Kim, A. (2020). Remove, then revert: Static point cloud map construction using multiresolution range images. InIros(pp. 10758–10765). IEEE. Klokov, R., & Lempitsky, V. (2017). Escape from cells: Deep Kd-networks for the recognition of 3D point cloud models. InIccv(pp...
semantic_slam_nav_ros-master.zip 上传者:qq_45539458时间:2020-06-02 gensim-3.7.0-cp37-cp37m-manylinux1_x86_64.whl.zip gensim-3.7.0-cp37-cp37m-manylinux1_x86_64.whl.zip 上传者:lwx666sl时间:2024-03-15 gensim-3.5.0-cp27-cp27m-manylinux1_x86_64.whl.zip ...
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation Zeyu HU*1, Xuyang Bai1, Jiaxiang Shang1, Runze Zhang2, Jiayu Dong2, Xin Wang2, Guangyuan Sun2, Hongbo Fu†3, and Chiew-Lan Tai1 1Hong Kong University of Science and Technology 2Lightspeed...
Semantic SLAM This on-going project is Semantic SLAM using ROS, ORB SLAM and PSPNet101. It will be used in autonomous robotics for semantic understanding and navigation. Now the visualized semantic map with topological information is reachable, where yellow represents buildings and constructions, green...