Development and Learning
K1 is South Newport’s flagship product aimed at the ROS education entry-level scene, integrating NavBot chassis technology and accumulated ROS tutorial expertise to achieve an ideal balance of educational performance, cost-effectiveness, and quality. Offering multiple chassis options and source-level tutorials(not just demonstrations),K1 comes equipped with high-value radar and depth camera accessories,catering to learning in mapping navigation,deep learning,3D vision,robot formation,and other areas. With technical support provided, it meets the needs of both beginners and those seeking to advance their skills.
Key Features Overview 01
RTAB-Map Visual And Lidar 3D Mapping Navigation
Support For RTAB-Map Pure Visual Mapping Navigation, Support For Fusion MappingNavigation Of Lidar And Visual Perception
Classic 2D Lidar Mapping, Navigation, And Obstacle Avoidance
Support For Gmapping, Hector, Karto, And Cartographer Mapping AlgorithmsSupport For Point-To-Point Navigation, Multi-Point Navigation, And Obstacle Avoidance DuringNavigation
Key Features Overview 02
ORB Visual Mapping Function
ORB-SLAM2 Is An Open-Source SLAM Framework That Supports Monocular, Stereo, And RGB-DCameras. lt Can Calculate The Camera's Pose In Real-Time And Simultaneously Perform Sparse3D Reconstruction Of The Surrounding Environment. Additionally, In Stereo And RGB-D Modes, ltCan Provide True-Scale Information.
ROS OT (ROS Operation Tool) Functionality With Graphical Usernterface
Deploying ROS OT Graphical User Interface To Facilitate One-Click Activation Of ROSFunctionalities, Providing Intuitive Feedback On Vehicle Speed, Battery Level, And OtherInformation.
Key Features Overview 03
Three-Dimensional Reconstruction In Real Autonomous Driving
For RayShen Multiline Lidar Enables Outdoor 3D Mapping, Bringing Us Closer To RealAutonomous Driving.
Autonomous Parking Feature
Implementing Full-Automatic Parking AndGarage Entry For Robots Through ProprietaryPatented Algorithms Combined With DeepLearning Represents A Core Functionality InThe Autonomous Driving Industry.
Lane Keeping Functionality InAutonomous Driving Lane Keeping By Lane
Lane Keeping By Lane Recognition Using CoreAlgorithms, A Core Functionality In TheAutonomous Driving ndustry
Key Features Overview 04
Steering Decision Functionalityn Autonomous Driving
Integrated Decision Making Using ProprietaryAlgorithms And Deep Learning-Based Lane AndTraffc Sign Recognition, A Core Functionality InThe Autonomous Driving industry
Yolo Traffc Sign Recognition
Step-By-Step Guide To Train Your Own Deepearning Model Library, lmplementing BasicAutonomous Driving Functionality Using AnRGB Camera
Yolo Obiect And GestureRecognition
GestureRecognition
Using Common Deep Learning Model LibrariesFor Everyday Obiect Recognition
ROS Tensorflow Obiect Detection
Based On TensorFlow, You Can lmplement TheRecognition Of Common Objects AndHandwritten Diait Recoanition.
Key Features Overview 05
Deep Visual Tracking
Implementing Robot Following Using DepthCamera To Recognize Obiect Distance AndOrientation
KCF Object Tracking
Implementing Robot Following By RecognizingFixed Feature Objects Using Depth Camera
AR Tag Recognition And Following
Implementing Robot FollowinlmplementingRobot Following By Recognizing And TrackingAR Tag Pose Using Depth Camera, With TheAbility To Extend AR Tag Localizationg ByRecognizing Fixed Feature Obiects Using Depth
Camera
Rapidly-Exploring Random Tree(RRT)Autonomous ExplorationMapping
Autonomous Exploration Mapping, MapSaving, And Returning To The Starting PointUsing RRT Algorithm Without Human
ntervention
Key Features Overview 06
Webcam Monitoring
Remote Monitoring Deployment Allowing DirectViewing Of Robot Camera lmages Through AnyWeb Browser On A PC
Line Following With RGBCamera
Following Ground Lines With RGB Camera.Integration With Lidar For Automatic ObstacleAvoidance During Line Following
Lidar Following
Robot Following The Nearest Obiect By ScanningNearby Obstacles With Lidar
Lidar Angle Masking
Through SDK Optimization, Angle Masking CanBe Applied To All Lidars.