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OS-saturn

Featuring APOLLO navigation technology, it delivers an open-source structure for academic education, autonomous driving enterprises and scientific research.

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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.

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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.

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  • 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

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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    Intelligent Internet Discipline Field

    Apollo Basics → In-Depth Industry Algorithms | Meets ICV Practical & Principle Needs | Supports Automotive Autonomous Navigation Precision Optimization & Algorithm Development

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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.

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Comprehensive Application Development

  • Localization

    Localization

  • Collabration

    Collabration

  • Perception

    Perception

  • Mapping

    Mapping

  • Path Planning

    Path Planning

  • Visual Obstacle Avoidance

    Visual Obstacle Avoidance

  • Sensors Fusion Perception

    Sensors Fusion Perception

  • Obstacle Avoidance

    Obstacle Avoidance

  • Localization

    Localization

  • Collabration

    Collabration

  • Perception

    Perception

  • Mapping

    Mapping

  • Path Planning

    Path Planning

  • Visual Obstacle Avoidance

    Visual Obstacle Avoidance

  • Sensors Fusion Perception

    Sensors Fusion Perception

  • Obstacle Avoidance

    Obstacle Avoidance

Multi-industry Applications

  • Development

    Development

  • Training

    Training

  • Education

    Education

  • Research

    Research

Support the deployment of various modular applications,

and jointly expand the infinite industry future with you.

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OS-saturn

  • 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
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Technical Support

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