Robot construction and programming car Hiwonder JetAuto ROS Jetson Nano touchscreen camera Lidar mapping SLAM navigation advanced edition
1,989.00€ VAT Incl.
JetAuto is an entry-level ROS robot car suitable for ROS education. It is loaded with NVIDIA Jetson Nano, high-performance encoder motor, lidar, and 3D depth camera, which opens up more features. Robot motion control, mapping and navigation, path planning, obstacle tracking and avoidance, autonomous driving, human feature recognition, somatosensory interaction, and voice interaction can all be realized!
NVIDIA Jetson Nano is capable of running mainstream deep learning frameworks, such as TensorFlow, PyTorch, Caffe/Caffe2, Keras, MXNet. Providing powerful computing power for massive AI projects. Powered by Jetson Nano, JetAuto can implement image recognition, object detection and positioning, pose estimation, semantic segmentation, intelligent analysis, and other powerful functions.
2D Lidar Mapping and Navigation
JetAuto is loaded with a high-performance Lidar that supports mapping with various algorithms including Gmapping, Hector, Karto, and Cartographer. In addition, path planning, fixed-point navigation, and obstacle avoidance in the middle of navigation can be implemented.
One Point Navigation, Multi-Point Navigation
JetAuto uses Lidar to sense the environment in real time to achieve single-point navigation as well as multi-point navigation.
TEB path planning, obstacle avoidance
It supports TEB path planning and is able to monitor the obstacle in real time during navigation. Therefore, it can replan the route to avoid the obstacle and continue moving.
RRT Autonomous Exploration Mapping
By adopting the RRT algorithm, JetAuto can perform exploration mapping, save the map and return to the starting point autonomously, so there is no need for manual control
Lidar tracking.
By scanning the moving object ahead, Lidar makes the robot capable of tracking the target.
Lidar tracking
By scanning the moving object ahead, Lidar makes the robot capable of tracking the target.
Depth map data, point cloud
Through the corresponding API, JetAuto can obtain a depth map, a color image and a point cloud from the camera
Deep learning, autonomous driving
With JetAuto, you can design an autonomous driving scenario to put ROS into practice, which helps you better understand the basic functions of autonomous driving.
Road Sign Detection
Through the training of deep learning model library, JetAuto can realize autonomous driving with AI vision.
Guard of the ways
JetAuto is able to recognize lanes on both sides to maintain a safe distance between itself and the lanes
Automatic parking
Combined with deep learning algorithm, JetAuto can recognize the parking sign, then automatically drive into the slot.
KCF Target Tracking
Integrates on KCF filtering algorithm, the robot can follow the selected target.
Color/Label Recognition and Tracking
JetAuto is able to recognize and track the designated color, and can recognize multiple April tags and their coordinates.
TECHNICAL SPECIFICATIONS
Connections:USB, Wi-Fi, Ethernet Microphones: 6x Microphones Navigation type:Cartography Operating systems :iOS, Android Condition / Production:New Colours:Noir, Vert Number of axes:5 Programming languages :Python, C++ Weight (kg): 3.5 Sensors:Obstacle detection sensor, TO DEAL Memory (GB): 32 Batteries (V / mAh): 6000mAh Width (mm): 260 Photo credit :Hiwonder Screens: 1x 7 inch touch screen Accessories : Screwdriver Height (mm): 256 Depth (mm): 302 Last Page Update: 26/02/2023