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Algorithms

Computer vision capabilities on embedded platforms are available to ADAS developers, including CUDA-based OpenCV and the OpenVX vision API.

Academy

NVIDIA and Itseez have optimized many OpenCV functions using CUDA on NVIDIA GPUs. These functions are 5-100x faster than CPU counterparts.

Academy

In this webinar from NVIDIA, learn how the OpenCV embedded vision algorithm library has been accelerated using CUDA on NVIDIA GPUs.

Academy

ADAS is among the early success stories in the burgeoning embedded vision era, and its usage is rapidly expanding.

Academy

Professor Li Zhang delivers a presentation at the December 2013 Alliance Member Meeting.

Academy

Neil Trevett, President of Khronos and VP at NVIDIA, delivers a presentation at the December 2013 Embedded Vision Alliance Member Meeting.

Academy

Professor Sanjay Patel of the University of Illinois delivers a presentation at the December 2013 Embedded Vision Alliance Member Meeting.

Academy

Kalyanramu Vemishetty of National Instruments delivers a technical presentation at the October 2013 Embedded Vision Summit.

Academy

Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments, delivers a hands-on demonstration of real-time stereo vision.

Academy

Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments, delivers a hands-on demonstration of real-time Lucas-Kanade tracking.

Academy