JetAuto is an entry-level ROS robot car tailored for ROS education. It is loaded with NVIDIA Jetson Nano, high-performance encoder motor, rotatable pan-tilt, Lidar, 3D depth camera and 7-inch screen, which opens up more functionalities. Robot motion control, mapping and navigation, path planning, tracking and obstacle avoidance, autonomous driving, human feature recognition, somatosensory interaction and voice interaction all can be achieved!
Diverse combination of the hardware makes JetAuto an ideal platform where you can learn and verify robotic SLAM function, as well as get the solution to ROS development. Massive ROS learning materials and tutorials are provided to help you get started quickly!
Jetson Nano Control System
Lidar Functions
2D Lidar Mapping and NavigationJetAuto is loaded with high-performance Lidar that supports mapping with diverse algorithms including Gmapping, Hector, Karto and Cartographer. In addition, path planning, fixed-point navigation as well as obstacle avoidance amid navigation can be implemented. |
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Single-point Navigation, Multi-point NavigationJetAuto employs Lidar to detect the surroundings in real time to achieve single-point navigation as well as multi-point navigation. |
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TEB Path Planning, Obstacle AvoidanceIt 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. |
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RRT Autonomous Exploration MappingAdopting RRT algorithm, JetAuto can complete exploration mapping, save the map and drive back to the starting point autonomously, so there is no need for manual control. |
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Lidar TrackingBy scanning the front moving object, Lidar makes robot capable of target tracking. |
Lidar GuardingGuard the surroundings and ring the alarm when detecting intruder. |
Depth Camera
RTAB-VSLAM 3D Mapping and NavigationDepth camera supports 3D mapping in two ways, pure RTAB vision and fusion of vision and Lidar, which allows JetAuto to navigate and avoid obstacle in 3D map, as well as re-locate globally. |
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ORBSLAM2 + ORBSLAM3ORB-SLAM is an open-source SLAM framework for monocular, binocular and RGB-D cameras, which is able to compute the camera trajectory in real time and reconstruct 3D surroundings. And under RGB-D mode, the real dimension of the object can be acquired. |
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Depth Map Data, Point CloudThrough the corresponding API, JetAuto can get depth map, color image and point cloud of the camera. |
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Deep Learning, Autonomous Driving
With JetAuto, you can design an autonomous driving scenario to put ROS into practice, which enables you to better understand core functions of autonomous driving.
Road Sign DetectionThrough training the deep learning model library, JetAuto can realize autonomous driving with AI vision. |
Lane KeepingJetAuto is capable of recognizing the lanes on both sides to maintain safe distance between it and the lanes. |
Automatic ParkingCombined with deep learning algorithm, JetAuto can recognize the parking sign, then steers itself into the slot automatically. |
Turning Decision MakingAccording to the lanes, road signs and traffic lights, JetAuto will estimate the traffic and decide whether to turn. |
MediaPipe Development, Upgraded AI Interaction
Based on MediaPipe framework, JetAuto can carry out human body recognition, fingertip detection, face detection, 3D detection and more.
Fingertip Trajectory Recognition |
Human Body Recognition |
3D Detection |
3D Face Detection |
AI Deep Learning FrameworkUtilize YOLO network algorithm and deep learning model library to recognize the objects. |
KCF Target TrackingRelying on KCF filtering algorithm, the robot can track the selected target. |
Color/Tag Recognition and TrackingJetAuto is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates. |
Augmented Reality (AR)After you select the patterns on the APP, the patterns can be overlaid on the April Tag. |
Far-field Microphone Array
Sound Source Localization
Voice Interaction |
Voice Navigation |
Interconnected Motorcade
Multi-vehicle Navigation
Intelligent FormationA batch of JetAuto cars can maintain the formation, including horizontal line, vertical line and triangle, during moving. |
Group ControlA group of JetAuto can be controlled by only one wireless handle to perform actions uniformly and simultaneously. |
ROS Robot Operating System
Global Popular Robotic Communication Framework
Gazebo Simulation
JetAuto employs ROS framework and supports Gazebo simulation. Gazebo brings a fresh approach for you to control JetAuto and verify the algorithm in simulated environment, which reduces experimental requirements and improves efficiency.
JetAuto Simulation ControlThe kinematics algorithm can be verified in simulation to speed up algorithm iteration and reduce the experiment cost. |
Visual DataRViz can visualize the mapping and navigation result, which facilitates debugging and improving algorithm. |
Various Control Methods
WonderAi APP |
Map Nav APP (Android Only) |
Wireless Handle |
Product Structure
SLAMTEC A1 Lidar
ORBBEC Astra Pro Depth Camera
iFLYTEK Far-field Microphone Array Module
HD 7-inch LCD Touch Screen
Intelligent Serial Bus Servo
Core Accessories
Multi-functional Expansion BoardThe expansion board has a built-in IMU sensor which can detect robot posture in real time. There are 2-channel PWM, two keys, a LED, a buzzer, 9-channel serial bus servo interface, two GPIO expansion ports and two IIC interfaces on it. |
Hall Encoder Geared Motor520 motor comes with high-accuracy encoder, and features strong force and high performance. The built-in AB phase incremental Hall encoder stands out for its high accuracy and anti-interference ability. |
11.1 V 6000mAh Lipo BatteryThis large-capacity Lipo battery can better power the robot and prolongs robot’s working life. |
Encoder Motor DriverJetAuto is equipped with 4-channel encoder motor driver making it easier to control motor. |
Product Parameters
