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En el instante 23 de junio de 2026, 16:11:49 UTC,
-
Modificado el valor del campo
spatial_coverage
a[{'bbox': '{"type": "Polygon", "coordinates": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}', 'centroid': '{"type": "Point", "coordinates": [-6.92, 35.715]}', 'text': 'España', 'uri': 'http://datos.gob.es/recurso/sector-publico/territorio/Pais/España'}]
en Better intelligent systems for mapping amphibian and small bird roadkill.
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| 78 | "notes": "Roads have multiple effects on wildlife, from animal | 78 | "notes": "Roads have multiple effects on wildlife, from animal | ||
| 79 | mortality, habitat and population fragmentation, to modification of | 79 | mortality, habitat and population fragmentation, to modification of | ||
| 80 | animal reproductive behaviour. Monitoring roadkill is expensive and | 80 | animal reproductive behaviour. Monitoring roadkill is expensive and | ||
| 81 | time-consuming, and depend mainly on volunteers. Thus, cheap, easy to | 81 | time-consuming, and depend mainly on volunteers. Thus, cheap, easy to | ||
| 82 | implement, and automatic methods for detecting roadkill over larger | 82 | implement, and automatic methods for detecting roadkill over larger | ||
| 83 | areas and over time are necessary. We present results from the | 83 | areas and over time are necessary. We present results from the | ||
| 84 | research project Life LINES, where we developed a cheap and efficient | 84 | research project Life LINES, where we developed a cheap and efficient | ||
| 85 | system for detecting amphibians and small birds roadkill using | 85 | system for detecting amphibians and small birds roadkill using | ||
| 86 | computer vision techniques. We present here the Mobile Mapping System | 86 | computer vision techniques. We present here the Mobile Mapping System | ||
| 87 | 2, an improved version of the Mobile Mapping System 1 developed during | 87 | 2, an improved version of the Mobile Mapping System 1 developed during | ||
| 88 | the Roadkill-project and presented in previous IENE congresses. We | 88 | the Roadkill-project and presented in previous IENE congresses. We | ||
| 89 | have successfully reduced the size and energetic consumption of the | 89 | have successfully reduced the size and energetic consumption of the | ||
| 90 | MMS, so now the device can be attached directly to the back of any | 90 | MMS, so now the device can be attached directly to the back of any | ||
| 91 | car. The MMS2 is composed by several cameras (multi-spectral, visual | 91 | car. The MMS2 is composed by several cameras (multi-spectral, visual | ||
| 92 | with 3D laser technology, and high definition). The algorithms were | 92 | with 3D laser technology, and high definition). The algorithms were | ||
| 93 | trained with previous collected pictures of road-killed amphibians and | 93 | trained with previous collected pictures of road-killed amphibians and | ||
| 94 | small birds. We have tested all images using the Haar Cascade | 94 | small birds. We have tested all images using the Haar Cascade | ||
| 95 | algorithm from the OpenCV library, which provided high rate | 95 | algorithm from the OpenCV library, which provided high rate | ||
| 96 | classification results. We tested the MMS2 in three conditions: a | 96 | classification results. We tested the MMS2 in three conditions: a | ||
| 97 | control test with plastic models of amphibians and birds in a small | 97 | control test with plastic models of amphibians and birds in a small | ||
| 98 | road; a control test with collection specimens of amphibians and | 98 | road; a control test with collection specimens of amphibians and | ||
| 99 | birds; and a real test on a 30 km road survey in Southern Portugal. | 99 | birds; and a real test on a 30 km road survey in Southern Portugal. | ||
| 100 | The MMS2 has been developed using low cost components with the idea of | 100 | The MMS2 has been developed using low cost components with the idea of | ||
| 101 | saving funds, time and personal resources for wildlife preservation.", | 101 | saving funds, time and personal resources for wildlife preservation.", | ||
| 102 | "notes_translated": { | 102 | "notes_translated": { | ||
| 103 | "en": "Roads have multiple effects on wildlife, from animal | 103 | "en": "Roads have multiple effects on wildlife, from animal | ||
| 104 | mortality, habitat and population fragmentation, to modification of | 104 | mortality, habitat and population fragmentation, to modification of | ||
| 105 | animal reproductive behaviour. Monitoring roadkill is expensive and | 105 | animal reproductive behaviour. Monitoring roadkill is expensive and | ||
| 106 | time-consuming, and depend mainly on volunteers. Thus, cheap, easy to | 106 | time-consuming, and depend mainly on volunteers. Thus, cheap, easy to | ||
| 107 | implement, and automatic methods for detecting roadkill over larger | 107 | implement, and automatic methods for detecting roadkill over larger | ||
| 108 | areas and over time are necessary. We present results from the | 108 | areas and over time are necessary. We present results from the | ||
| 109 | research project Life LINES, where we developed a cheap and efficient | 109 | research project Life LINES, where we developed a cheap and efficient | ||
| 110 | system for detecting amphibians and small birds roadkill using | 110 | system for detecting amphibians and small birds roadkill using | ||
| 111 | computer vision techniques. We present here the Mobile Mapping System | 111 | computer vision techniques. We present here the Mobile Mapping System | ||
| 112 | 2, an improved version of the Mobile Mapping System 1 developed during | 112 | 2, an improved version of the Mobile Mapping System 1 developed during | ||
| 113 | the Roadkill-project and presented in previous IENE congresses. We | 113 | the Roadkill-project and presented in previous IENE congresses. We | ||
| 114 | have successfully reduced the size and energetic\nconsumption of the | 114 | have successfully reduced the size and energetic\nconsumption of the | ||
| 115 | MMS, so now the device can be attached directly to the back of any | 115 | MMS, so now the device can be attached directly to the back of any | ||
| 116 | car. The MMS2 is composed by several cameras (multi-spectral, visual | 116 | car. The MMS2 is composed by several cameras (multi-spectral, visual | ||
| 117 | with 3D laser technology, and high definition). The algorithms were | 117 | with 3D laser technology, and high definition). The algorithms were | ||
| 118 | trained with previous collected pictures of road-killed amphibians and | 118 | trained with previous collected pictures of road-killed amphibians and | ||
| 119 | small birds. We have tested all images using the Haar Cascade | 119 | small birds. We have tested all images using the Haar Cascade | ||
| 120 | algorithm from the OpenCV library, which provided high rate | 120 | algorithm from the OpenCV library, which provided high rate | ||
| 121 | classification results. We tested the MMS2 in three conditions: a | 121 | classification results. We tested the MMS2 in three conditions: a | ||
| 122 | control test with plastic models of amphibians and birds in a small | 122 | control test with plastic models of amphibians and birds in a small | ||
| 123 | road; a control test with collection specimens of amphibians and | 123 | road; a control test with collection specimens of amphibians and | ||
| 124 | birds; and a real test on a 30 km road survey in Southern Portugal. | 124 | birds; and a real test on a 30 km road survey in Southern Portugal. | ||
| 125 | The MMS2 has been developed using low cost components with the idea of | 125 | The MMS2 has been developed using low cost components with the idea of | ||
| 126 | saving funds, time and personal resources\nfor wildlife | 126 | saving funds, time and personal resources\nfor wildlife | ||
| 127 | preservation.", | 127 | preservation.", | ||
| 128 | "es": "Roads have multiple effects on wildlife, from animal | 128 | "es": "Roads have multiple effects on wildlife, from animal | ||
| 129 | mortality, habitat and population fragmentation, to modification of | 129 | mortality, habitat and population fragmentation, to modification of | ||
| 130 | animal reproductive behaviour. Monitoring roadkill is expensive and | 130 | animal reproductive behaviour. Monitoring roadkill is expensive and | ||
| 131 | time-consuming, and depend mainly on volunteers. Thus, cheap, easy to | 131 | time-consuming, and depend mainly on volunteers. Thus, cheap, easy to | ||
| 132 | implement, and automatic methods for detecting roadkill over larger | 132 | implement, and automatic methods for detecting roadkill over larger | ||
| 133 | areas and over time are necessary. We present results from the | 133 | areas and over time are necessary. We present results from the | ||
| 134 | research project Life LINES, where we developed a cheap and efficient | 134 | research project Life LINES, where we developed a cheap and efficient | ||
| 135 | system for detecting amphibians and small birds roadkill using | 135 | system for detecting amphibians and small birds roadkill using | ||
| 136 | computer vision techniques. We present here the Mobile Mapping System | 136 | computer vision techniques. We present here the Mobile Mapping System | ||
| 137 | 2, an improved version of the Mobile Mapping System 1 developed during | 137 | 2, an improved version of the Mobile Mapping System 1 developed during | ||
| 138 | the Roadkill-project and presented in previous IENE congresses. We | 138 | the Roadkill-project and presented in previous IENE congresses. We | ||
| 139 | have successfully reduced the size and energetic consumption of the | 139 | have successfully reduced the size and energetic consumption of the | ||
| 140 | MMS, so now the device can be attached directly to the back of any | 140 | MMS, so now the device can be attached directly to the back of any | ||
| 141 | car. The MMS2 is composed by several cameras (multi-spectral, visual | 141 | car. The MMS2 is composed by several cameras (multi-spectral, visual | ||
| 142 | with 3D laser technology, and high definition). The algorithms were | 142 | with 3D laser technology, and high definition). The algorithms were | ||
| 143 | trained with previous collected pictures of road-killed amphibians and | 143 | trained with previous collected pictures of road-killed amphibians and | ||
| 144 | small birds. We have tested all images using the Haar Cascade | 144 | small birds. We have tested all images using the Haar Cascade | ||
| 145 | algorithm from the OpenCV library, which provided high rate | 145 | algorithm from the OpenCV library, which provided high rate | ||
| 146 | classification results. We tested the MMS2 in three conditions: a | 146 | classification results. We tested the MMS2 in three conditions: a | ||
| 147 | control test with plastic models of amphibians and birds in a small | 147 | control test with plastic models of amphibians and birds in a small | ||
| 148 | road; a control test with collection specimens of amphibians and | 148 | road; a control test with collection specimens of amphibians and | ||
| 149 | birds; and a real test on a 30 km road survey in Southern Portugal. | 149 | birds; and a real test on a 30 km road survey in Southern Portugal. | ||
| 150 | The MMS2 has been developed using low cost components with the idea of | 150 | The MMS2 has been developed using low cost components with the idea of | ||
| 151 | saving funds, time and personal resources for wildlife preservation." | 151 | saving funds, time and personal resources for wildlife preservation." | ||
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