Vision System with High Performance Wide Angle Fovea Lens

Author(s):  
Rei Murakami ◽  
Sota Shimizu ◽  
Nobuyuki Hasebe
1994 ◽  
Vol 6 (2) ◽  
pp. 131-136
Author(s):  
Yoshifumi Sasaki ◽  
◽  
Michitaka Kameyama

For intelligent robots, a robot vision system is usually required to perform three-dimensional (3-D) position estimation as well as object recognition at high speeds. In this paper, we propose an algorithm for 3-D object recognition and position estimation for the implementation of a VLSI processor The principle of the algorithm is based on model matching between an input image and models stored in memory. Because of enormous computation time, the development of a high-performance VLSI processor is essential. Highly parallel architecture is introduced in the VLSI processor to reduce the latency. As a result of highly parallel computing, the computational time is 10000 times faster than that of a 28.5 MIPS workstation.


2014 ◽  
Vol 629 ◽  
pp. 321-326
Author(s):  
Javaan Chahl ◽  
Aakash Dawadee

Navigation by means that are fully self contained, without the weight and cost of high performance inertial navigation units is highly desirable in many applications both military and civilian. In this paper we introduce a suite of sensors and behaviors that include: the means to reduce lateral drift due to wind using optical flow, detection of a constellation of landmarks using a machine vision system, and a polarization compass that is reliable at extreme latitudes based on polarization. In a series of flight trials and detailed simulations we have demonstrated that a combination of these functions achieves purely optical navigation with simplicity and robustness.


2021 ◽  
Author(s):  
Gvarami Labartkava

Human vision is a complex system which involves processing frames and retrieving information in a real-time with optimization of the memory, energy and computational resources usage. It can be widely utilized in many real-world applications from security systems to space missions. The research investigates fundamental principles of human vision and accordingly develops a FPGA-based video processing system with binocular vision, capable of high performance and real-time tracking of moving objects in 3D space. The undertaken research and implementation consist of: 1. Analysis of concepts and methods of human vision system; 2. Development stereo and peripheral vision prototype of a system-on-programmable chip (SoPC) for multi-object motion detection and tracking; 3. Verification, test run and analysis of the experimental results gained on the prototype and associated with the performance constraints; The implemented system proposes a platform for real-time applications which are limited in current approaches.


2020 ◽  
Vol 28 (15) ◽  
pp. 22321 ◽  
Author(s):  
Dong Cheon Kim ◽  
Andreas Hermerschmidt ◽  
Pavel Dyachenko ◽  
Toralf Scharf

Author(s):  
Yesiliang Qiu ◽  
Janet Dong ◽  
Caroline “Niki” Harrison Moretto

Abstract This paper discusses the design, building, and testing of a novel robot that is used to collect ticks in a variety of rugged terrains in remote areas. The robot provides a new approach for US Army Medical Researchers or other biologists to collect the insects remotely by using a robot equipped with a vision system and GPS. The approach will change the way that insects are being collected with automation instead of human manual work. The robot is designed to operate in different terrains, including soft grass, dirt, muddy soil, and rocky surface. The robot is weighted within 30 lbs., so the army staff or soldiers can easily carry it to the field. The tick collection robot consists of a robust platform, a driving system, an assembled flag section for high-performance tick selection, and GPS and vision system for autonomous control. There are two modes for tick collection: Continuous mode and stationary mode. In the continuous mode, the robot can run 3 hours continuously, and in the stationary mode, the robot can operate 6 hours at one location to collect ticks. The robot platform is about 29.64 lbs. without stationary components, which makes it easy to carry. The driving system enables the robot to run through various types of the above-mentioned locations and obstacles. The assembly flag component will make it easy to collect and clean the tick attached to its porous surface.


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