App Update Enables Faster Development Of Autonomous Vehicles

Abaco Systems unveils Release 2.0 of its ImageFlex image-processing and visualization toolkit. Leveraging the power of GPU technology, ImageFlex provides an easy-to-use API framework to considerably speed and simplify the development, optimization and maintenance of advanced AI applications, particularly those targeting autonomous vehicles.

 

ImageFlex masks the complexity of the underlying software layers, while maintaining high performance. By providing an OpenGL abstraction layer (no OpenGL experience is required) it can reduce the number of lines of code required by a factor of five, thereby reducing the effort and time needed to create, test and maintain the application.

Sponsored by Anritsu Company

New VNA technologies enable mmWave broadband testing to 220 GHz, helping researchers and engineers to overcome test challenges and simplify mmWave testing.

Application development in the mmWave frequencies is growing. Broadband testing over hundreds of GHz of bandwidth is subject to repeatability/accuracy deficits, and engineers demand solutions to help overcome challenges and simplify mmWave testing.

 

New features include:

  • Tools and reference examples enabling AI-based applications to be deployed on Abaco's NVIDIA®-based GPU products.
  • Provision of a reference target tracking example - a core building block for tracking applications.
  • High quality, GPU-optimized image stabilization.

 

ImageFlex is complementary to the company's NVIDIA GPU-based GVC1000 and GVC2000 hardware platforms, which use the NVIDIA Jetson supercomputer on a module for AI computing at the edge. This allows the creation of complete solutions for Degraded Visual Environment (DVE), 360° situational awareness, helmet mount sight processing, target identification and tracking and other EO/IR processing applications. It is portable across a range of graphics processing architectures and operating systems, and is potentially safety certifiable.

 

The ImageFlex API provides functions for a range of image processing operations from simple image transformations through to more complex lens distortion correction and image morphing. It includes optimized, high quality image fusion, stabilization, tracking and distortion correction algorithms, as well as a comprehensive set of reference application examples that provide core software building blocks. ImageFlex also provides tools and reference examples demonstrating how to integrate with sensors and deploy artificial intelligence-based applications such as object detection and recognition.

 

In addition, ImageFlex provides an image-fusion function that can fuse image data from multiple sources of different resolutions. The algorithm adaptively adjusts to pull through the regions of highest contrast in each source to a produce a fused result, enabling an observer or processing stage to act on the combined information of the sources.

 

For deeper and more delectable enlightenment, visit the ImageFlex product page.

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