Loading

Fisheye RealView Multitask Vision 1.0


    • Supports RGB and Grayscale cameras.
    • Supports front and rear cameras.
    • Focused on vehicle ADAS functions and automated road crack detection systems.

    Product description

    Currently supported end-user-functions

    • Bird eye view.
    • Objects detection and tracking.
    • Semantic segmentation.

    Supported systems


    Product facts

    System requirements

    • RTX 2060 GPU or Orin Nano
    • RAM Footprint: 2 GB
    • ROM Footprint: 100 MB

    Software requirements

    • Linux / QNX
    • PyTorch 2.1 C++ libraries
    • CUDA 11.8 or more
    • Available as ROS node.

    Future features

    • More than 20 different automotive object classes to be detected.
    • 3D Bounding box detection and tracking.
    • Camera soiling detection and warning.
    • Automatic realignment.
    • Multi-camera synchronization stitching.
    • Real-time 3D HD map generation.

    Synthetic training system

    • Available for more than 5000 km of driving.
    • Based on unreal engine with realistic scene generation.
    • Supports OEM custom training scenarios.
    • Additional real-world training scenarios planned.

    Fisheye ISP & Bird eye View Projection

    Image signal processing

    • Supports grayscale and RGB cameras.
    • Camera automatic calibration algorithm available.
    • Frame unwrapping.

    Supported KPIs

    • 30 fps @ 8 MP
    • 60 fps @ 4 MP

    Birdeye view projection

    • Configurable ROI.
    • Camera calibration algorithm available.

    Objects Detection & Tracking

    Object detection features

    • Detects objects classes and 2D-bounding boxes.
    • Real-time classification.

    Object detection KPIs

    • Up to 10 different automotive specific classes, including vehicles, pedestrians, bicycles, lanes, and traffic signs.
    • Up to 20 objects concurrently detected at real-time.
    • Detection rate @ 10 fps.

    Object tracking

    • Tracking static and dynamic objects.
    • Up to 3 seconds out of view objects tracking.
    • Detects objects velocity, position, and direction vectors.

    Object tracking KPIs

    • Up to 20 2D-bounding boxes, top view 2D map.
    • Detection rate @ 10 fps.

    Semantic Segmentation

    Semantic segmentation & classification

    • Detects 10 different automotive specific classes including vehicles, pedestrians, bicycles, lanes, and traffic signs.
    • Real-time classification.
    • Detects free-space.
    • Generates warnings for vulnerable objects.

    Semantic segmentation KPIs

    • Up to 10 different automotive specific classes, including vehicles, pedestrians, bicycles, lanes, and traffic signs.
    • Detection rate @ 10 fps.

    X