Laser radar system for obstacle avoidance

Bers, Karl-Heinz; Schulz, Karl R.; Armbruster, Walter

doi:10.1117/12.626082

Cited by 13 publications

(10 citation statements)

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“…In the final stages of the landing operation the pilot is unable to see the distance to the surface of the earth as he approaches. Figure 12a shows that even moderate dust clouds can cause disturbances in the classification results of the obstacle warning system HELLAS [2] (laser points classified as clutter, shown in red). This effect becomes more and more of a problem as the density of the dust cloud increases.…”

Section: Approach To Prevent Landing Mishaps In Brownout Situationsmentioning

confidence: 98%

Imaging sensor fusion and enhanced vision for helicopter landing operations

2006

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An automatic target recognition system has been assembled and tested at the Research Institute for Optronics and Pattern Recognition in Germany over the last years. Its multisensorial design comprises off-the-shelf components: an FPA infrared camera, a scanning laser radar und an inertial measurement unit. In the paper we describe several possibilities for the use of this multisensor equipment during helicopter missions. We discuss suitable data processing methods, for instance the automatic time synchronization of different imaging sensors, the pixel-based data fusion and the incorporation of collateral information. The results are visualized in an appropriate way to present them on a cockpit display. We also show how our system can act as a landing aid for pilots within brownout conditions (dust clouds caused by the landing helicopter).

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Section: Approach To Prevent Landing Mishaps In Brownout Situationsmentioning

confidence: 98%

Imaging sensor fusion and enhanced vision for helicopter landing operations

2006

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“…Here, the most prominent source is a white LED, which uses a blue LED flux that is converted to white light at a phosphorescent layer [1,2]. Although the LED's bandwidth is very limited (few tens of MHz even with a blue filter), bit rates around 1 Gbit/s have been already demonstrated with DMT [3], and CAP [4] modulations.…”

Section: Received 16 December 2014mentioning

confidence: 99%

Novel multipulses technology for pulse laser radar

Chen

Wang

Mei

et al. 2015

Micro & Optical Tech Letters

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A novel unequal spacing multipulses technology for pulse Laser Radar was proposed in this article. Data accumulation technology is an efficient method to improve signal‐to‐noise ratio due to different statistical characteristics between the echo signal and the noise. Traditional multipulses technology using equal spaces multipulses always leads to outputs once the time window has pulses no matter the number of pulses. We proposed a method using unequal spaces multipulses technology to improve the poor performance of the equal space multipulses technology, that is, if and only if the time window had special number pulses, the novel system would have output signal. We discussed the method to generate unequal spacing multipulses serials first, and then the algorithm to deal with the echo signals was also illustrated. Both simulation and experimental results showed the validity of our algorithm. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:1614–1620, 2015

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“…The scan in vertical direction is realized with an oscillating mirror. The two scans cover a field-of-view of 14.4 degrees in horizontal and vertical direction and create a range image with 128 lines and 128 columns at a frame rate of 4 Hz [2]. …”

Section: Lasermentioning

confidence: 99%

Generation of efficient 2D templates from 3D multisensor data for correlation-based target tracking

Witte¹,

Armbruster²,

Jäger³

et al. 2008

Signal Processing, Sensor Fusion, and Target Recognition XVII

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The general demand for the prevention of collateral damages in military operations requires methods of robust automatic identification of target objects like vehicles especially during target approach. This requires the development of sophisticated techniques for automatic and semi-automatic interpretation of sensor data. In particular the automatic pre-analysis of reconnaissance data is important for the human observer as well as for autonomous systems. In the phase of target approach fully automatic methods are needed for the recognition of predefined objects. For this purpose appropriate sensors are used like imaging IR sensors suitable for day/night operation and laser radar supplying 3D information of the scenario. Classical methods for target recognition based on comparison with synthetic IR object models imply certain shortcomings, e.g. unknown weather conditions and the engine status of vehicles. We propose a concept of generating efficient 2D templates for IR target signatures based on the evaluation of a precise 3D model of the target generated from real multisensor data. This model is created from near-term laser range and IR data gathered by reconnaissance in advance to gain realistic and up-to-date target signatures. It consists of the visible part of the object surface textured with measured infrared values. This enables recognition from slightly differing viewing angles. Our test bed is realized by a helicopter equipped with a multisensor suite (laser radar, imaging IR, GPS, and IMU). Results are demonstrated by the analysis of a complex scenario with different vehicles

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Laser radar system for obstacle avoidance

Cited by 13 publications

References 0 publications

Imaging sensor fusion and enhanced vision for helicopter landing operations

Imaging sensor fusion and enhanced vision for helicopter landing operations

Novel multipulses technology for pulse laser radar

Generation of efficient 2D templates from 3D multisensor data for correlation-based target tracking

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