Millimeter-Wave Radar for Rescue Helicopters

Migliaccio, Claire; Nguyen, B.D.; Pichot, Ch.; Yonemoto, Naruto; Yamamoto, Kazuo; Yamada, K.; Nasui, H.; Mayer, Winfried; Gronau, A.; Menzel, Wolfgang

doi:10.1109/icarcv.2006.345237

Cited by 15 publications

(12 citation statements)

References 17 publications

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“…We propose a simple model to carry out this idea and define whether one cable line is "correlated" with another cable in a neighboring frame. Specifically, in addition to the SVM, we also fit a linear model to give the "score" of each candidate line by Least Squares (14) where is the features from all training data concatenated into a matrix, is the training data label vector, and is the linear combination coefficients for the features to define the score for the candidate line (15) where is the feature extracted from the data on one line. This simple score gives an approximate probability for a candidate line being cable.…”

Section: An Adaptive Algorithm For Cable Detectionmentioning

confidence: 99%

An Algorithm for Power Line Detection and Warning Based on a Millimeter-Wave Radar Video

Goshi

Shih

et al. 2011

IEEE Trans. on Image Process.

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Power-line-strike accident is a major safety threat for low-flying aircrafts such as helicopters, thus an automatic warning system to power lines is highly desirable. In this paper we propose an algorithm for detecting power lines from radar videos from an active millimeter-wave sensor. Hough Transform is employed to detect candidate lines. The major challenge is that the radar videos are very noisy due to ground return. The noise points could fall on the same line which results in signal peaks after Hough Transform similar to the actual cable lines. To differentiate the cable lines from the noise lines, we train a Support Vector Machine to perform the classification. We exploit the Bragg pattern, which is due to the diffraction of electromagnetic wave on the periodic surface of power lines. We propose a set of features to represent the Bragg pattern for the classifier. We also propose a slice-processing algorithm which supports parallel processing, and improves the detection of cables in a cluttered background. Lastly, an adaptive algorithm is proposed to integrate the detection results from individual frames into a reliable video detection decision, in which temporal correlation of the cable pattern across frames is used to make the detection more robust. Extensive experiments with real-world data validated the effectiveness of our cable detection algorithm.

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Section: An Adaptive Algorithm For Cable Detectionmentioning

confidence: 99%

An Algorithm for Power Line Detection and Warning Based on a Millimeter-Wave Radar Video

Goshi

Shih

et al. 2011

IEEE Trans. on Image Process.

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“…Recent examples have been demonstrated for automotive [1], airport safety [2], or rescue helicopter applications [3]. Since radar antennas usually require high gain, the use of millimeter wave enables to have electrically large antennas while maintaining a reasonable antenna size.…”

Section: Introductionmentioning

confidence: 99%

Millimetre‐wave polarization‐dependant monopulse printed Fresnel reflector

Nguyen

Pichot

Migliaccio

2009

Micro & Optical Tech Letters

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“…Performance of airborne earth observing system increases with the integration of two different systems [3]. It can be equipped with helicopters [4,5] or dump trucks [6]. Short distance targets from vehicles are exactly detected by radar and camera integration on highway and road [7].…”

Section: Introductionmentioning

confidence: 99%

Marine Object Detection Based on Kalman Filtering

Hwang¹,

Pak²,

Park³

2011

Journal of information and communication convergence engineerin

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In this paper, although Radar has been used for a long time, integrated scheme with visual camera is an efficient way to enhance marine surveillance system. Camera image is focused by radar information but it is easy to be fallen into inaccurate operation due to environmental noises. We have proposed a method to filter the noises by moving average filter and Kalman filter. It is proved that Kalman filtered results preserves linearity while the former includes larger variance.

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Millimeter-Wave Radar for Rescue Helicopters

Cited by 15 publications

References 17 publications

An Algorithm for Power Line Detection and Warning Based on a Millimeter-Wave Radar Video

An Algorithm for Power Line Detection and Warning Based on a Millimeter-Wave Radar Video

Millimetre‐wave polarization‐dependant monopulse printed Fresnel reflector

Marine Object Detection Based on Kalman Filtering

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