Validation of vision-based obstacle detection algorithms for low-altitude helicopter flight

1991 ◽  
Author(s):  
Raymond E. Suorsa ◽  
Banavar Sridhar
Keyword(s):  
Obstacle Detection ◽  
Detection Algorithms ◽  
Helicopter Flight ◽  
Low Altitude

Obstacle detection and warning for helicopter flight using infrared and millimeter wave

2003 ◽  
Author(s):  
Naruto Yonemoto ◽  
Kazuo Yamamoto ◽  
Kimio Yamada ◽  
Hidemi Yasui ◽  
Seiji Nasu ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Obstacle Detection ◽  
Helicopter Flight

scholarly journals AN ALGORITHM FOR PEDESTRIAN DETECTION IN MULTISPECTRAL IMAGE SEQUENCES

2017 ◽  
Vol XLII-2/W4 ◽  
pp. 73-77 ◽  
Author(s):  
V. V. Kniaz ◽  
V. V. Fedorenko
Keyword(s):  
Optical Flow ◽  
Pedestrian Detection ◽  
Obstacle Detection ◽  
Multispectral Image ◽  
Low Light ◽  
Detection Algorithms ◽  
Optical Flows ◽  
The Difference ◽  
Self Driving Cars

The growing interest for self-driving cars provides a demand for scene understanding and obstacle detection algorithms. One of the most challenging problems in this field is the problem of pedestrian detection. Main difficulties arise from a diverse appearances of pedestrians. Poor visibility conditions such as fog and low light conditions also significantly decrease the quality of pedestrian detection. This paper presents a new optical flow based algorithm BipedDetet that provides robust pedestrian detection on a single-borad computer. The algorithm is based on the idea of simplified Kalman filtering suitable for realization on modern single-board computers. To detect a pedestrian a synthetic optical flow of the scene without pedestrians is generated using slanted-plane model. The estimate of a real optical flow is generated using a multispectral image sequence. The difference of the synthetic optical flow and the real optical flow provides the optical flow induced by pedestrians. The final detection of pedestrians is done by the segmentation of the difference of optical flows. To evaluate the BipedDetect algorithm a multispectral dataset was collected using a mobile robot.

scholarly journals UAV low-altitude obstacle detection based on the fusion of LiDAR and camera

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Zhaowei Ma ◽  
Wenchen Yao ◽  
Yifeng Niu ◽  
Bosen Lin ◽  
Tianqing Liu
Keyword(s):  
Point Clouds ◽  
Detection Algorithm ◽  
Angle Measurement ◽  
Obstacle Detection ◽  
Accurate Estimation ◽  
Measurement Information ◽  
Depth Information ◽  
Performance Indexes ◽  
Low Altitude ◽  
Sensor Configuration

AbstractIn this paper, aiming at the flying scene of the small unmanned aerial vehicle (UAV) in the low-altitude suburban environment, we choose the sensor configuration scheme of LiDAR and visible light camera, and design the static and dynamic obstacle detection algorithms based on sensor fusion. For static obstacles such as power lines and buildings in the low-altitude environment, the way that image-assisted verification of point clouds is used to fuse the contour information of the images and the depth information of the point clouds to obtain the location and size of static obstacles. For unknown dynamic obstacles such as rotary-wing UAVs, the IMM-UKF algorithm is designed to fuse the distance measurement information of point clouds and the high precision angle measurement information of image to achieve accurate estimation of the location and velocity of the dynamic obstacles. We build an experimental platform to verify the effectiveness of the obstacle detection algorithm in actual scenes and evaluate the relevant performance indexes.

scholarly journals Helicopter Flight Manoeuvre Statistics via ADS-B: An Initial Investigation Using the OpenSky Network

2021 ◽  
Vol 13 (1) ◽  
pp. 10
Author(s):  
Joshua Hoole ◽  
Julian Booker ◽  
Jonathan Cooper
Keyword(s):  
Rule Based ◽  
Initial Investigation ◽  
Significant Variability ◽  
Helicopter Flight ◽  
Wide Range ◽  
Low Altitude

Significant challenges exist when defining the usage spectra of helicopter components due to the wide range of missions and manoeuvres flown by helicopters in-service. Automatic Dependent Surveillance-Broadcast (ADS-B) trajectories provide a means of constructing helicopter flight manoeuvre statistics across entire in-service fleets. This paper explores the feasibility of characterising helicopter manoeuvres by applying rule-based algorithms to ADS-B trajectories from a fleet of twin-seat training helicopters. Despite challenges relating to low-altitude ADS-B coverage, a comprehensive set of flight manoeuvre statistics was generated, which highlighted that significant variability exists in helicopter flight manoeuvre occurrences. The generated statistics can also support validation activities concerning design usage spectra assumptions.

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