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A Bird's eye view of Matrix Distributed Processing [article]

Massimo Di Pierro
2003 arXiv   pre-print
We present Matrix Distributed Processing, a C++ library for fast development of efficient parallel algorithms.  ...  MDP is based on MPI and consists of a collection of C++ classes and functions such as lattice, site and field.  ...  Introduction Matrix Distributed Processing (MDP) [1] is a collection of classes and functions written in C++ to be used as components for fast development of efficient parallel algorithms.  ... 
arXiv:cs/0303031v1 fatcat:oe2kvq4unzbsdlxfz3az7cwvua

Free Space Detection Using Camera-LiDAR Fusion in a Bird's Eye View Plane

Byeongjun Yu, Dongkyu Lee, Jae-Seol Lee, Seok-Cheol Kee
2021 Sensors  
This study proposes a convolutional neural network architecture that processes data transformed to a bird's eye view plane.  ...  In contrast to conventional approaches, additional domain transformation to a bird's eye view space is executed to obtain long-range data with resolutions comparable to those of short-range data.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2021, 21, 7623  ... 
doi:10.3390/s21227623 pmid:34833698 pmcid:PMC8619025 fatcat:tinnoixr3bel7jmr4sn7smhou4

Camera and Radar Sensor Fusion for Robust Vehicle Localization via Vehicle Part Localization

Daejun Kang, Dongsuk Kum
2020 IEEE Access  
INDEX TERMS Bird's-eye view, vehicle localization, sensor fusion, lane change prediction, trajectory prediction, particle filter.  ...  Then, a widely adopted deep learning approach is used to detect and localize the left and right corners of target vehicles.  ...  of the vehicle's rear corner part in a bird's-eye-view.  ... 
doi:10.1109/access.2020.2985075 fatcat:6oz5usijhfh6xgpnjdwvlv6j2y

Learning to Map Vehicles into Bird's Eye View [article]

Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara
2017 arXiv   pre-print
This paper presents a way to learn a semantic-aware transformation which maps detections from a dashboard camera view onto a broader bird's eye occupancy map of the scene.  ...  To this end, a huge synthetic dataset featuring 1M couples of frames, taken from both car dashboard and bird's eye view, has been collected and automatically annotated.  ...  A new high-quality synthetic dataset, featuring a huge amount of dashboard camera and bird's eye frames, in which the spatial occupancy of a variety of vehicles (i.e. bounding boxes, distance, yaw) is  ... 
arXiv:1706.08442v1 fatcat:4mckjyrhjvbyhpns6ghyqolrc4

Bird's–Eye View Image for the Localization of a Mobile Robot by Means of Trilateration

Lorenzo Sabattini, Cristian Secchi, Cesare Fantuzzi, Alessandro Stefani
2010 IFAC Proceedings Volumes  
The acquired image of the environment is converted into a bird's-eye view image, used to measure the distance of the robot from the landmarks, to compute the robot's position by means of trilateration.  ...  In this paper we introduce a method for the localization of a low-cost mobile robot, based on the use of a monocular camera.  ...  on a bird's-eye view image of the environment.  ... 
doi:10.3182/20100906-3-it-2019.00040 fatcat:ww4x5atf3bcnpkcnhor3hc5inq

Accuracy and Speed Improvement of Event Camera Motion Estimation Using a Bird's-Eye View Transformation

Takehiro Ozawa, Yusuke Sekikawa, Hideo Saito
2022 Sensors  
To solve this problem, we propose a method for motion estimation by optimizing contrast in the bird's-eye view space.  ...  Instead of performing three-dimensional motion estimation, we reduced the dimensionality to two-dimensional motion estimation by transforming the event data to a bird's-eye view using homography calculated  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2022, 22, 773  ... 
doi:10.3390/s22030773 pmid:35161519 pmcid:PMC8840125 fatcat:k6qcxufk7rg57abd5rqnvcm5xi

Real Time Vision System for Obstacle Detection and Localization on FPGA [chapter]

Ali Alhamwi, Bertrand Vandeportaele, Jonathan Piat
2015 Lecture Notes in Computer Science  
algorithm for obstacle segmentation and localization under the hypothesis of a flat ground.  ...  Obstacle detection is a mandatory function for a robot navigating in an indoor environment especially when interaction with humans is done in a cluttered environment.  ...  using the equation (14) , the homography matrix of bird's-eye view for the cameras is calculated.  ... 
doi:10.1007/978-3-319-20904-3_8 fatcat:ifzups4w7jc6jnjhh3ly7krqnq

Visual Reconstruction of an Intersection by Integrating Cameras on Multiple Vehicles

Daisuke Ota, Shintaro Ono, Katsushi Ikeuchi
2007 IAPR International Workshop on Machine Vision Applications  
A method is presented for generating a bird's-eye view of a road traffic scene via the integration of multiple images from in-vehicle cameras; the resulting bird's-eye view supports the goal of greater  ...  directions, a bird's-eye view can be generated by integrating the images seen from each vehicle; images are projected onto a common ground plane to reproduce the intersection virtually.  ...  We then generate the resulting virtual bird's-eye view by integrating all this information. We simulated a test of our proposed method in a environment and found its performance to be favorable.  ... 
dblp:conf/mva/OtaOI07 fatcat:643fvtxpmrfqpop4wtk23s64hi

A Geometric Approach to Obtain a Bird's Eye View from an Image [article]

Ammar Abbas, Andrew Zisserman
2020 arXiv   pre-print
The objective of this paper is to rectify any monocular image by computing a homography matrix that transforms it to a bird's eye (overhead) view.  ...  the field of view or focal length is known; (ii) We introduce a novel representation for the geometry of a line or point (which can be at infinity) that is suitable for regression with a convolutional  ...  the desired bird's eye view.  ... 
arXiv:1905.02231v2 fatcat:rlgmbhifuvh2nlctkkl63lwrnq

(DCNN) Deep Convolution Neural Network Classifier and (EW-CSA) Earth Worm-Crow Search Algorithm for Lane Detection

The Deep Convolutional Neural Network (DCNN) classifier to identify the lane from the bird's eye view image.  ...  The DCNN classifier gets trained with the view picture from the bird's eye image and the optimal weights are selected through newly developed EW-CSA algorithm.  ...  Fig. 2 .Fig. 3 . 23 Fig. 2. a) Input Camera Picture b) View PictureFrom The Bird's Eye.  ... 
doi:10.35940/ijitee.a8112.119119 fatcat:tkk42enff5d6jbkd5nhcjdo6oy

Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D [article]

Jonah Philion, Sanja Fidler
2020 arXiv   pre-print
We propose a new end-to-end architecture that directly extracts a bird's-eye-view representation of a scene given image data from an arbitrary number of cameras.  ...  trajectories into a bird's-eye-view cost map output by our network.  ...  H × W tensor that can be processed by a standard CNN for bird's-eye-view inference.  ... 
arXiv:2008.05711v1 fatcat:pu2oi5kegvcuzf4uheobouixa4

The same, but different—a bird's-eye view on mitosis

Peter Nick
2011 Protoplasma  
For instance, the so-called matrix model (Pickett-Heaps and Forer 2009) derives the interaction of actomyosin in the spindle matrix with microtubules during anaphase A from the actin-based cleavage of  ...  In order to transform the genetic into a cellular copy, the duplicated DNA is equally distributed to the daughter cells by a microtubule-based spindle.  ... 
doi:10.1007/s00709-011-0299-9 pmid:21695411 fatcat:dezsi4tasjepplun64shwmq5gq

Birds Eye View Social Distancing Analysis System [article]

Zhengye Yang, Mingfei Sun, Hongzhe Ye, Zihao Xiong, Gil Zussman, Zoran Kostic
2022 arXiv   pre-print
We propose and evaluate a privacy-preserving social distancing analysis system (B-SDA), which uses bird's-eye view video recordings of pedestrians who cross traffic intersections.  ...  We propose a method for incorporating pedestrian grouping for detection of social distancing violations.  ...  DESCRIPTION OF THE B-SDA SYSTEM FOR MEASURING AND ANALYSIS OF SOCIAL DISTANCING A. Data Pre-Processing The work described in this paper is based on bird's-eye view video recordings.  ... 
arXiv:2112.07159v2 fatcat:tp5f3oxstbetvhvzmkkxwimsja

Study of a robotic system to detect water leakage and fuel debris-System proposal and feasibility study of visual odometry providing intuitive bird's eye view-

Zhenyu Wang, Gen Endo, Masashi Takahashi, Hiroyuki Nabae, Koichi Suzumori, Nobuyoshi Tsuzuki, Hideharu Takahashi, Kazushi Kimoto, Tomonori Ihara, Hiroshige Kikura
2020 ROBOMECH Journal  
The results showed that the visual odometry method could generate intuitive bird's-eye-view maps, and provided an average error rate of 35 mm/1500 mm, which met the required maximum error rate of 100 mm  ...  We studied the feasibility of the conventional visual odometry method for application to the situation and performed localizing accuracy evaluation experiments with a mobile robotic platform prototype.  ...  , 1-1-1, Tsushima-Naka, Kita-ku, Okayama 700-8530, Japan. 5 Tokyo University of Marine Science and Technology, 2-1-6, Etchujima, Koto-ku, Tokyo 135-8533, Japan.  ... 
doi:10.1186/s40648-020-00184-z fatcat:64kisc5s3jgr7hotrfvfgskkgi

An automatic crowd generation system using image processing techniques

Dong-Gyu Park, Sang-Hyun Park, Hoon-Hee Lee, Hwan-Gue Cho
1998 Computer networks and ISDN systems  
We also propose various distribution functions to make a realistic crowd model and give implementation results.  ...  The system handles the data Ž . of a person's image and its attributes in a database to merge with background image.  ...  Another common method of generating crowds is to insert individual images of people into a bird's-eye view picture. Data of a person's shadow can be inserted to increase an image's realism.  ... 
doi:10.1016/s0169-7552(98)00173-1 fatcat:3cc3byvmwzakhclw4arqrgwgim
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