Real-Time Stereo Vision on FPGAs with SceneScan

09/21/2018
by   Konstantin Schauwecker, et al.
0

We present a flexible FPGA stereo vision implementation that is capable of processing up to 100 frames per second or image resolutions up to 3.4 megapixels, while consuming only 8 W of power. The implementation uses a variation of the Semi-Global Matching (SGM) algorithm, which provides superior results compared to many simpler approaches. The stereo matching results are improved significantly through a post-processing chain that operates on the computed cost cube and the disparity map. With this implementation we have created two stand-alone hardware systems for stereo vision, called SceneScan and SceneScan Pro. Both systems have been developed to market maturity and are available from Nerian Vision GmbH.

READ FULL TEXT
research
01/12/2023

Real-time FPGA implementation of the Semi-Global Matching stereo vision algorithm for a 4K/UHD video stream

In this paper, we propose a real-time FPGA implementation of the Semi-Gl...
research
07/07/2020

Single Storage Semi-Global Matching for Real Time Depth Processing

Depth-map is the key computation in computer vision and robotics. One of...
research
06/02/2021

Low-cost Stereovision system (disparity map) for few dollars

The paper presents an analysis of the latest developments in the field o...
research
05/07/2019

Fully Parallel Architecture for Semi-global Stereo Matching with Refined Rank Method

Fully parallel architecture at disparity-level for efficient semi-global...
research
06/05/2020

FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications

Fast and accurate depth estimation, or stereo matching, is essential in ...
research
07/26/2014

Pushbroom Stereo for High-Speed Navigation in Cluttered Environments

We present a novel stereo vision algorithm that is capable of obstacle d...
research
01/24/2021

Exploitation of Image Statistics with Sparse Coding in the Case of Stereo Vision

The sparse coding algorithm has served as a model for early processing i...

Please sign up or login with your details

Forgot password? Click here to reset