We present the *first benchmark* and a *novel method* for radiance field reconstruction of dynamic urban areas from *heterogeneous, multi-sequence data*.
We present R3D3, a method for dense 3D reconstruction and ego-motion estimation in dynamic outdoor environments that iterates between geometric multi-camera optimization and monocular depth refinement.
First method and benchmark for open-vocabulary multi-object tracking.
To track the 3D locations and trajectories of the other traffic participants at any given time, modern autonomous vehicles are equipped with multiple cameras that cover the vehicle’s full surroundings. Yet, camera-based 3D object tracking methods …