OS-mars

Equipped with open-source Autoware navigation, it offers an "open body and brain" to support academic institutions, autonomous driving companies and research projects in developing autonomous driving systems.

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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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  • Aotuware Practice ：Master Aotuware 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 Autoware 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 Alg

    Localization Alg

  • Point Cloud Alg

    Point Cloud Alg

  • Point-Cloud Trim Alg

    Point-Cloud Trim Alg

  • Simulation Deployment Alg

    Simulation Deployment Alg

  • Planning & Control Alg

    Planning & Control Alg

  • Speed Planning

    Speed Planning

  • Mapping Task

    Mapping Task

  • Navigation Task

    Navigation Task

  • Localization Alg

    Localization Alg

  • Point Cloud Alg

    Point Cloud Alg

  • Point-Cloud Trim Alg

    Point-Cloud Trim Alg

  • Simulation Deployment Alg

    Simulation Deployment Alg

  • Planning & Control Alg

    Planning & Control Alg

  • Speed Planning

    Speed Planning

  • Mapping Task

    Mapping Task

  • Navigation Task

    Navigation Task

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-mars

  • Chassis Types：Ackermann Chassis , 4WT/4WD Chassis, Tracked Chassis, Differential Chassis
  • Embedded Computer：8-core CPU ARM 64-bit 2.26 GHZ
  • GPU : Embedded Computer：8-core CPU ARM 64-bit 2.26 GHZ
  • Computing Power：32 TOPS
  • CPU : 8-core NVIDlA Carmel Arm® v8.2 64-bit CPU 8MB L2 + 4MB L3
  • Memory ：32GB 256-bit LPDDR4x(ECC support) 136.5GB/s
  • Storage ：32GB eMMC 5.1 Flash memory 500GB External SATA SSD
  • 3D LiDAR ：16 Channels （100m Measuring Radius）
  • Resolution ratio：1280x720
  • Camera Detection distance：0.2-4 m
  • Camera Configuration：FPGA Processing unit, dual-core ARM, 1GB memory, 8GB Flash memory
  • System Configuration：Ubuntu 16.04 / 22.04
  • Ultrasonic Rada：Probe frequency 48-58KHz Max Detection Range 4m
  • Integrated Positioning & Navigation Module：RTK Positioning Accuracy Horizontal 2cm+1ppm Vertical 4cm+1ppm
  • GNSS Update Rate ：Update Rate 1Hz, 5Hz, 10Hz；Combined Update Rate 1Hz, 10Hz, 50Hz, 100Hz, 200Hz
  • Altitude Accuracy：orientation acuracy 0.2° （1m Baseline）；horizontal rolling/pitching 0.1°（RMS）
  • Gyroscope：range ± 500°/s ；bias stability ≤3°/h
  • Accelerometer：range ± 8g；bias stability ＜1mg
  • Working temperature：-40℃ ~ +85℃
  • Storage temperature：-55℃ ~ +95℃
  • IP：IP54
  • Power Requirements：9~28VDC
  • Power Consumption：≤10W
  • Communication Interface： PHY, RS232, CAN, USB
  • GNSS：Positioning Antenna FAKRA type D，Rated Impedance 50Ω；Directional Antenna FAKRA type A，Rated Impedance 50Ω
  • Input Gain：20~36dB
  • Millimeter Wave Radar：
  • Operating frequency：76~77GHz
  • Detection distance： 0.2…250m (Long-distance), 0.2…70m@0…±45° /0.2…20m@0…±60°(Short distance)
  • Horizontal expansion angle：-9°~9° (Long-distance)/ -45°~45°(Middle-distance)/-60°~60°(Short distance)
  • Vertical expansion angle：14°
  • Communication interface：CAN
  • Speed resolution： 0.37km/h
  • Speed measurement accuracy：±0.1km/h
  • Input voltage：8～32V DC
  • Working temperature：-40-85℃　
  • Power consumption：6.6W（typical value）
  • Mechanical vibration： compliance with LV124
  • System Configuration：Apollo 3.0 / 7.0
  • Operating Environment：Indoor / outdoor
  • 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 / Nav Module + Chassis + Training & Assessment Plan
  • Config Desc：Components and functions support modular upgrades; specifications are subject to the actual product configuration.
  • Tech Docs：Open-Source Code, Chassis CAN Protocol, Chassis STP Drawing, Driver ROS Package
  • Services：One-to-One Development Tech Support
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Technical Support

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