  In this paper, we focus on obtaining 2D and 3D labels, as well as track IDs
for objects on the road with the help of a novel 3D Bounding Box Annotation
Toolbox (3D BAT). Our open source, web-based 3D BAT incorporates several smart
features to improve usability and efficiency. For instance, this annotation
toolbox supports semi-automatic labeling of tracks using interpolation, which
is vital for downstream tasks like tracking, motion planning and motion
prediction. Moreover, annotations for all camera images are automatically
obtained by projecting annotations from 3D space into the image domain. In
addition to the raw image and point cloud feeds, a Masterview consisting of the
top view (bird's-eye-view), side view and front views is made available to
observe objects of interest from different perspectives. Comparisons of our
method with other publicly available annotation tools reveal that 3D
annotations can be obtained faster and more efficiently by using our toolbox.
