Advancements in Synthetic Video Generation for Autonomous Driving
Figure 2-1 : Different environmental conditions clockwise from top-left daylight , rain scene , sunlight , evening . [ 15 ]
CARLA provides different layouts and modes related to buildings , vehicles , and urban layouts , which is quite useful as it is an open-source platform without any cost . The simulation environment is user-friendly , and documentation integrating various sensors , environmental conditions , static and dynamic parameters control , scenario , and map generation are readily available at CARLA ' s official website and blogs [ 15 ].
Figure
2-1 shows scenes corresponding to environmental conditions e . g ., daylight , rainy seasons , just after rain ( sunny ) and evening scenes . The limitations of generating datasets with this approach are that it tends to generate a not very realistic game-like environment . However , it does help in reducing the reality gap to an extent . One of the features we will use from CARLA is to generate inputs corresponding to our proposed system .
Figure 2-2 : Depth and segmentation output from CARLA simulator . [ 15 ]
Figure 2-2 describes the different sensors ( RGB ( Red , Green , Blue ), Depth ) and their outputs corresponding to a scenario , which will help us create a user-centric approach to generate inputs to our proposed model .
110 March 2024