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Journal ArticleDOI

Flight Data Acquisition for Validation of Passive Ranging Algorithms for Obstacle Avoidance

Phillip N. Smith
- 01 Oct 1992 - 
- Vol. 37, Iss: 4, pp 32-37
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This article is published in Journal of The American Helicopter Society.The article was published on 1992-10-01. It has received 16 citations till now. The article focuses on the topics: Obstacle avoidance.

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Citations
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Journal ArticleDOI

Passive range estimation for rotorcraft low-altitude flight

TL;DR: The Kalman filter is also used to track features in the images leading to a significant reduction of search effort in the feature-extraction step of the algorithm, and aKalman filter approach to estimate range to obstacles is described.
Journal ArticleDOI

Multirate and event-driven Kalman filters for helicopter flight

TL;DR: In this paper, a vision-based obstacle detection system that provides information about objects as a function of azimuth and elevation is discussed, where a range map is computed using a sequence of images from a passive sensor, and an extended Kalman filter is used to estimate range to obstacles.
Proceedings ArticleDOI

Vision-based range estimation using helicopter flight data

TL;DR: Results obtained using helicopter flight data with a feature-based range estimation algorithm are presented and a method for recursively estimating range using a Kalman filter with a monocular sequence of images and knowledge of the camera's motion is described.
Journal ArticleDOI

A parallel implementation of a multisensor feature-based range-estimation method

TL;DR: In this paper, an efficient and flexible parallel implementation of a multisensor feature-based range-estimation algorithm, targeted for automated helicopter flight, is described, with respect to three load balancing schemes, on both a distributed-memory and shared-memory parallel computer.
Journal ArticleDOI

Vision‐based obstacle detection for rotorcraft flight

TL;DR: An obstacle detection approach based on feature tracking and recursive range estimation that takes into account the characteristics of rotorcraft flight is described.
References
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Journal ArticleDOI

A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses

TL;DR: In this paper, a two-stage technique for 3D camera calibration using TV cameras and lenses is described, aimed at efficient computation of camera external position and orientation relative to object reference coordinate system as well as the effective focal length, radial lens distortion, and image scanning parameters.
Book

A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses

Roger Y. Tsai
TL;DR: A new technique for three-dimensional camera calibration for machine vision metrology using off-the-shelf TV cameras and lenses using two-stage technique has advantage in terms of accuracy, speed, and versatility over existing state of the art.
Journal ArticleDOI

Analysis of image-based navigation system for rotorcraft low-altitude flight

TL;DR: This study considers how object location is affected by the choice of Kalman filter estimation technique, the rotorcraft, and the object.

Simulation and analysis of image-based navigation system for rotorcraft low-altitude flight

TL;DR: In this paper, three different Kalman filters are used to estimate the location of an object on the ground during the course of various simulated helicopter maneuvers; two of the three filters are found to yield good object location estimates.
Proceedings ArticleDOI

Considerations for Automated Nap-of-the-Earth Rotorcraft Flight

TL;DR: This paper identifies obstacle detection and obstacle avoidance as the two critical components requiring substantial advancement before an automatic guidance system can be realized, and discusses the major sources of difficulties in developing these two components.