Intelligent Internet Discipline Field
Apollo Basics → In-Depth Industry Algorithms | Meets ICV Practical & Principle Needs | Supports Automotive Autonomous Navigation Precision Optimization & Algorithm Development
OS-saturn
OS-saturn
Featuring APOLLO navigation technology, it delivers an open-source structure for academic education, autonomous driving enterprises and scientific research.
Multi-scenario Fusion Navigation Algorithm
Fusion of multi-source sensing data and diverse algorithms supports navigation development and application in complex environments, laying a solid technical foundation for autonomous driving, robotics and enhanced navigation applications.
Multi-stage Practice and Extended Functions
From underlying hardware to upper-layer algorithms, hardware structures to system integration, and installation operations to innovative research. Build a full-process practical research framework to drive innovation and solve complex problems.
- APOLLO Practice ：Master APOLLO System Architecture & Navigation Principles
- Auto-Nav Software Tuning ：Localization, Planning & Control Synergy
- Auto-Nav Algorithm Dev ：Multi-Scenario Application Expansion
- Hardware Assembly & Debugging ：Chassis Hardware & Electrical Commissioning
- Motion Control Calibration ：Chassis CAN Bus & Control System Calibration
- Chassis-Nav Joint Debugging ：Multi-sensor Calibration & Nav Tuning
Multi-domain Application & Development
Based on the Apollo Navigation Research & Education Platform, we build a "Practice-Theory-Research" system centered on the "Perception-Localization-Planning-Control" architecture, consolidating the foundation for intelligent connected innovation.
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Automation Discipline Field
By virtue of open-source autonomous navigation, Traditional Automation Upgrade → Unmanned Autonomous Mobility + Operation Collaboration | Key Support for Mechanical Automation & Computer Info Majors
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Intelligent Internet Discipline Field
Based on "underlying open-source general AI", it covers object detection and recognition, instance segmentation, image enhancement and denoising, forming exclusive AI development capabilities centered on the "Artificial Intelligence" discipline.
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Smart Agriculture Discipline Field
RTK Fusion | Promotes smart agriculture and agricultural engineering, provides full-process technical support for the intelligent R&D of agricultural equipment, As a key connecting tool between majors and industrial implementation.
Configuration & Functions
Comprehensive Application Development
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Localization
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Collabration
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Perception
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Mapping
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Path Planning
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Visual Obstacle Avoidance
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Sensors Fusion Perception
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Obstacle Avoidance
Multi-industry Applications
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Development
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Training
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Education
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Research
Support the deployment of various modular applications,
and jointly expand the infinite industry future with you.
Parameter
- Available on：Ackermann steering UGV
- Operating Environment ：Outdoor
- System Configuration ：Apollo 3.0 / Apollo 7.0
- Computing Unit：8-core CPU ARM 64-bit 2.26 GHZ / i9-9900k
- GPU：512-core NVIDIA Volta™ GPU with 64 Tensor Cores / RTX4060
- Memory ：32GB / 16GB
- Storage ：500GB External SATA SSD
- 3D LiDAR ：16 Channels （150m Measuring Radius）
- Camera ：Resolution ratio 1280x720; FPGA Processing unit, dual-core ARM, 1GB memory, 8GB Flash memory; Detecting range 0.2~4m
- Ultrasonic Radar ：Probe frequency 48-58KHz; Max Detection Range 1m
- Integrated Positioning & Navigation Module：Positioning Accuracy RTK - Horizontal 0.8cm+1ppm
- IMU：9-axis gyroscope; Pitch and roll accuracy (static) 0.05°RMS; Pitch and roll accuracy (dynamic) 0.1°RMS
- Millimeter Wave Radar ：Operating frequency 76~77GHz; Detection distance 0.2~250m(long range)/0.2~70m(medium range)/0.2~20m(short range)
- Hardware Functions：Hardware Installation & Commissioning, CAN Communication Analysis & Application, Chassis Kinematics Analysis & Application, Battery BMS Analysis & Application
- Auto-Nav Install, Debug & Test Function：Auto-Nav Hardware Install, Debug & Test, Auto-Nav Software Architecture Analysis & Application, Sensor Fusion Data Analysis and Application, Chassis Control Fusion Analysis and Application
- Nav Functions：Dynamic Obstacle Avoidance, Point-to-Point Navigation, Multi-Point Navigation, LiDAR Angle Masking, Global/Local Path Planning & Mapping Navigation
- Configuration：Nav Module + Chassis
- Configuration Description：Components and functions support modular upgrades; specifications are subject to the actual product configuration.
- Technical Documents：Open-Source Code, Chassis CAN Protocol, Chassis STP Drawing, ROS Driver Package
- Services：Online Technical Support
Technical Support
