Applications of moving windows technique to autonomous vehicle navigation

Choi, Sung Yug; Lee, Jang Myung

doi:10.1016/j.imavis.2005.09.016

Cited by 8 publications

(6 citation statements)

References 15 publications

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“…They did not use MM vehicles since they were convinced that different driving patterns would have a disproportionate influence on surveyed values . 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 6 1999; Beauvais and Lakshmanan, 2000;McCall and Trivedi, 2004;Tai et al, 2004;Toth and Grejner-Brzezinska, 2004;Choi and Lee, 2006;Guan et al, 2014;Holgado-Branco et al, 2015). Some works have focused on lane extraction in image sequences using geo-referenced information from other sensing devices (i.e., GNSS, IMU).…”

Section: Related Workmentioning

confidence: 99%

Mobile mapping systems and spatial data collection strategies assessment in the identification of horizontal alignment of highways

Marinelli

Bassani

Piras

et al. 2017

Transportation Research Part C: Emerging Technologies

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The horizontal alignment of existing highways may be identified by using several terrestrial or aerial geomatics technologies. Such technologies involve different levels of precision and accuracy; hence, different results can be expected. At present, there are no comparisons available between the solutions resulting from the use of different technologies and data sources for the same road alignment.In this investigation, a number of terrestrial mobile mapping techniques and data collection strategies were evaluated. The centerline of a 3.6 km section of a highway was used to estimate radii, centers of curvature and orientation of tangents. Two statistical fitting methods were used to back-calculate these parameters, and the results were then compared with as-built alignment data.Terrestrial images from a mobile mapping vehicle were used to determine the centerline, which was also estimated as the average line of the carriageway and pavement edges, and as the average line of the two driving trajectories. Positions were surveyed using low-cost sensors (an integrated GPS-IMU platform, HD webcam). For comparison purposes, aerial orthophotos and a GNSS (high-cost) receiver were used simultaneously. Although the GPS-IMU data and estimated trajectories provided results comparable to those of the GNSS receiver, the use of georeferenced images proved less accurate. The results and comments in the paper should be of use to survey practitioners when they need to select an acquisition methodology appropriate to the desired level of accuracy and in line with budget constraints.

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Section: Related Workmentioning

confidence: 99%

Mobile mapping systems and spatial data collection strategies assessment in the identification of horizontal alignment of highways

Marinelli

Bassani

Piras

et al. 2017

Transportation Research Part C: Emerging Technologies

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“…Índice de Histograma Semántica del bin H [1] Magenta H [2] Blue H [3] Cyan H [4] Green H [5] Yellow H [6] Red H [7] Black H [8] Dark Gray H [9] Gray H [10] Light Gray H [11] White H [12] Vertical Edge H [13] Horizontal Edge H [14] Complex Edge Fuente: D. K.…”

Section: Tabla 1 Semántica De Bins Del Histogramamentioning

confidence: 99%

“…El código de cadena permite identificar los límites en una imagen en un segmento de línea especificando un largo y dirección, es un código que típicamente describe la conectividad de la imagen en 4 u 8 vecinos de conectividad ejemplo mostrado en la Ilustración 6, en este caso la conectividad está asociada a la determinación de la línea de la proa 7 . Esta conexión de puntos puede arrojar un buen determinante para la clasificación de las imágenes como lo presentado en [26].…”

Section: Código De Cadenaunclassified

“…Esto con el fin de encontrar una conexión de pixeles dentro de las imágenes de lanchas, siendo una característica que no tiene el mar, por no poseer bordes normalmente conectados. 7 Parte anterior de los artefactos navales.…”

Section: Código De Cadenaunclassified

“…El trabajo en imágenes está siendo estudiado para múltiples usos, es así como google, se encuentra diseñando un buscador de imágenes para clasificarlas 5 . Se trabaja en reconstrucción de imágenes [5] y [6], en navegación de vehículos autónomos [7]. en reconocimiento de rostros [8] y [9], en extracción de datos de documentos manuscritos [10] en clasificación de suelos [11].…”

Section: Introductionunclassified

See 2 more Smart Citations

Seguimiento de artefactos navales

Fuquene¹

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Una de las funciones de la Armada Nacional es la protección de la soberanía, para ello requiere el uso de unidades a flote. La construcción de estas Unidades refleja el desarrollo tecnológico de una nación. COOTECMAR1 realizó el diseño estructural y mecánico del primer buque oceánico OPV (OffShore Patrol Vessel) la integración de los sistemas de armas se encuentra en proceso de desarrollo por parte de DARET2 . Dicha dependencia desarrolló también el sistema de control de fuego Barracuda 3, el cual cuenta con una cámara de características militares que posee visión diurna a color e infrarroja en escala de grises (ZOOM de 8X), la integración de los dos subsistemas, cámaras y control de fuego, hace que sea posible y necesario el seguimiento de un artefacto naval.

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Image-Based Absolute Positioning System for Mobile Robot Navigation

Yun

Lyu

Lee

2006

Lecture Notes in Computer Science

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Abstract. Position estimation is one of the most important functions for the mobile robot navigating in the unstructured environment. Most of previous localization schemes estimate current position and pose of a mobile robot by applying various localization algorithms with the information obtained from sensors which are set on the mobile robot, or by recognizing an artificial landmark attached on the wall or objects of the environment as natural landmarks. Several drawbacks about them have been brought up. To compensate the drawbacks, a new localization method that estimates the absolute position of the mobile robot by using a fixed camera on the ceiling in the corridor is proposed. And also, the proposed method can improve the success rate for position estimation, since it calculates the real size of an object. This is not a relative localization scheme which reduces the position error through algorithms with noisy sensor data, but a kind of absolute localization. The effectiveness of the proposed localization scheme is demonstrated through the experiments.

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Applications of moving windows technique to autonomous vehicle navigation

Cited by 8 publications

References 15 publications

Mobile mapping systems and spatial data collection strategies assessment in the identification of horizontal alignment of highways

Mobile mapping systems and spatial data collection strategies assessment in the identification of horizontal alignment of highways

Seguimiento de artefactos navales

Image-Based Absolute Positioning System for Mobile Robot Navigation

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