Hello, as part of formula student car racing I need a SLAM algorithm that will recognize cones and will build a map (there will be a few laps therefore map is needed for optimal path). The cones are of known size. What is my best option in your opinion to choose sensors out of the following 3 (please consider that this project has a deadline so I need it to be implemented as fast as possible): 1. 2 cameras that will use geometry to determine the distance of the cones from the vehicle. 2. 1 camera that will use an estimation and the known size of the cones distance of the cones from the vehicle. 3. 1 camera and 1 lidar. The cones will have different colors so that we must have a camera that will sync with the lidar which might be difficult and cause problems?
Es necesario levantar, en el terreno, un mapa digital temático con precisión suficiente para no posicionar erróneamente los componentes para su actividad.
El software SIG, disponible, posee herramientas para levantar la cartografía necesaria y genera nueva información geométrica del espacio y todos los elementos necesarios, según sus objetivos.
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