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Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections
We quantitatively evaluate UTS using self generated synthetic data and ground truth from the CARLA simulator, due to the non-existence of datasets with an urban vehicle surveillance setting and labeled 3D bounding boxes.
SDNet: Semantically Guided Depth Estimation Network
Autonomous vehicles and robots require a full scene understanding of the environment to interact with it.
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