Photo credits: Hiwonder

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!

In stock
Delivery: 2 to 3 days
PAYMENT & SECURITY

DESCRIPTION

YouTube video - vm51ssb62J4










Nano Jetson Control System


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.




Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation











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.





Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation











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.





Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and 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.




Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation











Lidar tracking


By scanning the moving object ahead, Lidar makes the robot capable of tracking the target.





Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation










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.





Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation







Road Sign Detection


Through the training of deep learning model library, JetAuto can realize autonomous driving with AI vision.





Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation







Guard of the ways


JetAuto is able to recognize lanes on both sides to maintain a safe distance between itself and the lanes





Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation








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.





Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation







Color/Label Recognition and Tracking


JetAuto is able to recognize and track the designated color, and can recognize multiple April tags and their coordinates.




Robot construction and programming robot car Hiwonder JetAuto ROS Jetson Nano with Lidar depth camera touch screen, support SLAM mapping and navigation







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

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