downloads links
10/20/2020 5:11 PM 1047527424 Turbosquid - Detailed Roads Collection.part1.rar 10/20/2020 5:11 PM 1047527424 Turbosquid - Detailed Roads Collection.part2.rar 10/20/2020 5:11 PM 1047527424 Turbosquid - Detailed Roads Collection.part3.rar 10/20/2020 5:10 PM 831202765 Turbosquid - Detailed Roads Collection.part4.rar
TurboSquid – Detailed Roads 3D-Models Collection
MAX | FBX | OBJ | TEX
Collection including 4 very high detailed cracked asphalt tileable roads with many details like guardrail, wooden fences, stones..
Included are tileable parts of the roads
road 1 (780246): 75,805 polygons
road 2 (1016446): 341,843 polygons
road 3 (1018726): 749,661 polygons
road 4 (1040225): 545,704 polygons
Detailed enough for your close-up renders
Different formats are avaiable
Included are textures, standard materials in Max file and V-Ray and standard materials in the archives..
Models are in real world scale in centimeters
Images were rendered in V-Ray renderer
Look at the HD images in previews
Road data collection went through dramatic changes over the course of technology enhancement. It started with simple paper sketches of pavement distresses, then manual and automatic road data collection, current trends are mobile phone-based road data collection and in near future connected/autonomous vehicles based road data collection will domina…
… and numerous sensors. The advantages are zero cost of equipment, detailed data, high accuracy, and no operator are required. By utilizing deep learning algorithms data collected by connected vehicles can be automatically categorized and visualized on map which can be accessed by any highway engineer. Besides data continuously updated in real-time (Fig. 1). The evolution of road data collection methods shows how technology is shaping the way how data collected, stored and analyzed. Even though technology is rapidly progressing, most developing countries are still practicing manual (visual) road data collection practices. The reasons are lack of highly skilled operators, over-complicated …
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