RTMaps – Real-time Multisensor Applications

Development and validation environment for multisensor applications (ADAS/AD, robotics, etc.)

RTMaps from Intempora is a component-based software development and execution environment which enables users to time-stamp, record, synchronize and play back data from various sensors and vehicle buses. 

  • RTMaps Forum

    Are you exploring a new idea and are looking for support? Ask questions and get answers from RTMaps users around the world in the RTMaps forum. Join the community.

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  • Speed is Key to Safety – Developing algorithms for autonomous driving

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  • RTMaps Used to Develop Functions for Autonomous Driving for a Shuttle Bus

    NAVYA relies on the multisensor development environment RTMaps from Intempora to develop complex functions for autonomous driving for the NAVYA ARMA, which is considered to be the first driverless production vehicle for regular traffic.

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  • Strengthening the AD Portfolio

    In July 2020, dSPACE acquired Intempora, a pioneer in the area of real-time development software. The two companies already had a long-standing strategic partnership. Through the acquisition, dSPACE now offers a unique and reliable end-to-end solution as well as optimized support for innovative development projects. In this interview, Nicolas du Lac, CEO of Intempora, explains the history of the company and how this closer cooperation will bring a unique value.

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  • Rising to Multisensor Challenges

    dSPACE and Intempora have built a cooperation that aims at providing a superior tool chain for developing advanced driver assistance systems and functions for highly automated driving. dSPACE will globally and exclusively distribute RTMaps by Intempora, an unparalleled software environment for multisensor applications.

    This article gives you a brief overview of RTMaps and how it is seamlessly integrated into the dSPACE tool chain.

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  • RTMaps Training

    The training courses are dedicated to engineers involved in prototyping multisensor applications. You will learn how to acquire, process, synchronously record and play back sensor data in RTMaps. In the advanced course, you will gain hands-on experience in integrating algorithms using Python, C++, or Simulink® and learn how to use RTMaps in combination with dSPACE tool chain. You will also learn to develop and run applications on embedded platforms.

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Application Areas

Multisensor applications play an essential role in many areas such as advanced driver assistance systems, autonomous driving, multimodal human-machine interfaces, robotics and aerospace. 

Developing these types of applications in the lab or in vehicle requires capturing, synchronizing, and processing data in real time from multiple sensors such as cameras, lidars, radars, or GNSS receivers and interfacing with communication networks/buses, such as Ethernet (e.g., SOME/IP, DDS), CAN/CAN FD, FlexRay, or LIN. During the test and development phase, it is also essential to be able to record, visualize and play back time-correlated data. RTMaps (Real-Time Multisensor applications) from Intempora (www.intempora.com) is designed specifically for these use cases. It provides a modular development and run-time environment for x86- and ARM-based platforms supporting operating systems such as Microsoft Windows® and Linux. 

Key Benefits

With RTMaps, data is acquired asynchronously and each data sample is captured along with its time stamp at its own genuine pace. This ensures that all data is time-correlated. RTMaps’ unparalleled performance on multicore CPUs enables users to get the most out of their computing architectures and easily set up applications that handle multiple, high-bandwidth data streams, including real-time processing and data fusion. Sensor data can be recorded and played back synchronously for offline development and testing under reproducible conditions and in a faster-than-real-time mode.

RTMaps provides comprehensive component libraries for automotive sensors, buses and perception algorithms and it supports any type and quantity of sensors and actuators. Algorithms can be developed easily by means of block diagrams or by integrating own code using dedicated software development kits for C++ and Python. It is even possible to process data on multiple distributed platforms while preserving time coherency and synchronization of heterogeneous data streams.  

Integration in the dSPACE Tool Chain

RTMaps is tightly integrated in the dSPACE tool chain. For this, dSPACE provides an interface blockset designed specifically for dSPACE’s PC-based simulation platform VEOS and dSPACE real-time systems to exchange data with low latencies and synchronize clocks with RTMaps. In addition, dSPACE ControlDesk® can be connected to RTMaps via the ASAM XIL API, which lets users monitor and parameterize components that are implemented and processed in RTMaps.

Functionality Description
General
  • Developing, testing, validating and benchmarking processing and data fusion algorithms
  • 2-D & 3-D visualization
  • Data time-stamping, latency measurement, downstream resynchronization
  • Data logging and faster-than-real-time data playback for offline development and validation
  • Graphical programming by means of block diagrams and easy integration of C++, Python and Simulink code
  • Optimized, multithread run-time engine and dedicated real-time capabilities
  • Data processing and data synchronization on multiple distributed platforms
  • RTMaps Studio with large module libraries for graphical development
  • RTMaps Remote Studio (an additional RTMaps Remote Studio license is required) to directly develop applications on embedded platforms using a PC
  • RTMaps Runtime Engine for embedded deployment and customized HMIs
  • Record and play back measurement data in different file formats (ADTF DAT, MDF4, etc.)
Supported sensors, communication buses and protocols
  • Cameras (GigE Vision, USB 2.0, USB 3.0, FireWire, analog, Camera Link, HDR, ... from Point Grey, IDS, Basler, AVT, NIT, etc.)
  • Stereo-vision heads
  • Lidars (IBEO, Velodyne, SICK, Hokuyo, Quanergy, Ouster, etc.)
  • Radars (Delphi, Autocruise, Continental, ...)
  • Time-of-flight sensors (LeddarTech)
  • CAN/CAN FD, LIN (Peak, Kvaser, Vector Informatik, .dbc file decoder)
  • FlexRay (Star Cooperation, .ARXML file decode)
  • DDS (RTI Connext, Vortex OpenSplice)
  • GPS, IMUs (SBG Systems, OxTS, Xsens, VectorNav, IXSEA, Phidgets, ...)
  • Communication (TCP & UDP, Some/IP, ASAM XIL API, etc.)
  • Analog/digital I/O (Data Translation, Phidgets, Audio, ...)
  • Eye trackers (Pertech, faceLAB, SmartEye, SMI, The Eye Tribe, ...) and biometrics (BIOPAC, Becker Meditec, ...)
  • Motion capturing (Kinect, Xtion, Vicon, ...)
  • The complete list of available components is provided under: https://intempora.com/products/rtmaps/supported-technologies/
    Support for additional components on request.
Supported algorithms for developing functions for autonomus driving
  • Open Source Computer Vision Library (OpenCV) for CPU/GPU-based image processing
  • Support for NVIDIA® DriveWorks for the DRIVE platforms (AGX, PX2)
  • Augmented LiDAR 3D SLAM provided by Dibotics via Partners Components Store
Supported operating systems and platforms
  • Windows®, Linux, Embedded Linux, QNX
  • x86, x86_64, ARM, MicroAutoBox Embedded SPU, AUTERA, Renesas HAD Solution Kit, NXP BlueBox, NVIDIA® DRIVE™ PX 2
Targeted applications
  • Advanced driving assistance systems (ADAS)
  • Autonomous vehicles
  • Mobile robotics
  • Data recording
  • Data replay
  • Advanced multimodal HMIs

  • RTMaps Product Information, PDF, English, 1258 KB
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