Instance semantic IDs are now available embedded in the G and B channels of the RGB output of the sensor data, alongside the standard semantic IDs in the R channel. Instance SegmentationĬARLA now has a brand new instance segmentation sensor that outputs images containing a different ID for every object. Vehicle physics has been enhanced with more accurate models of acceleration, gear and braking behavior. The API now offers new functionality to guide vehicles with a user defined route or path and vehicle lights now react to weather conditions and junctions. This release comes with major improvements to the Traffic Manager, with new logic to promote more realistic vehicle behavior at intersections and at high speeds. Articulating doors are especially useful for training and testing autonomous vehicles in car parks or on tight city streets. Generation 2 (GEN-2) cars now include articulated doors that can interact with the environment through collisions. 2 new vehicles have also been added to the CARLA garage, the Volkswagen T2 2021 and a new Ford Crown Taxi. 4 new pedestrians are introduced including 2 adults (each with 3 variants) and 2 children to add extra variety to the humans occupying the pavements and roads in your simulations. Produce high quality training data to improve generalization, avoid overfitting pitfalls and challenge neural networks with adversarial attacks through continuously updating textures.ĬARLA’s API now provides new functions to retrieve ground truth pedestrian 3D bone positions and hence evaluate the pedestrian’s 3D pose, facilitating the validation and training of pose estimation models and also adding custom gestures to standard animations through the API.ĬARLA 0.9.13 presents new assets to enrich your simulations with a selection of additional pedestrians and vehicles. This new functionality enables the user to change the textures of every object in the scene during runtime without requiring the Unreal Editor. Runtime texture streaming is now possible through the CARLA API. This functionality can be used for many different purposes such as training and evaluating networks to differentiate and track overlapping objects. Now the ground truth ID is available to differentiate objects of the same type in the camera field of view. The 0.9.13 release of CARLA is finally here, so read on to see how the new improvements will revolutionize your workflow.ĬARLA now features ground truth instance segmentation! A new camera sensor can be used to output images with the semantic tag and a unique ID for each world object.
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