RTMaps – Algorithms for Autonomous Driving

RTMaps: Algorithms for Autonomous Driving

Published: May 09, 2018

The multisensor development environment RTMaps provides a range of algorithms for developing functions for autonomous driving:

Open Source Computer Vision Library (OpenCV) for image processing with functions such as edge detection, pattern recognition, and object tracking.
Augmented LiDAR 3D SLAM from Dibotics with simultaneous localization and mapping (SLAM) and segmentation algorithms.
Support for NVIDIA^® DriveWorks for the DRIVE PX2 platform for an easy implementation of functions, e.g., for lane, object or open space detection.

The algorithms are available as predefined components that can be integrated into an RTMaps application with just a few clicks.

Product Information

RTMaps Software environment for the development, testing, benchmarking, and validation of sensor fusion and perception algorithms in multisensor applications.

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