Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

Automated building processes that enable efficient in situ resource utilization can facilitate
construction in remote locations while simultaneously offering a carbon-reducing alternative …

We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input
image. The training data consists of a texture-mapped 3D object model or images of the …

This paper presents Autoware on Board, a new profile of Autoware, especially designed to
enable autonomous vehicles with embedded systems. Autoware is a popular open-source …

Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

Analyzing the geometric and semantic properties of 3D point clouds through the deep
networks is still challenging due to the irregularity and sparsity of samplings of their …

Depth completion aims to recover dense depth maps from sparse depth measurements. It is
of increasing importance for autonomous driving and draws increasing attention from the …

The recent activity in the area of autonomous vehicle navigation has initiated a series of
reactions that stirred the automobile industry, pushing for the fast commercialization of this …

This paper is intended to pave the way for new researchers in the field of robotics and
autonomous systems, particularly those who are interested in robot localization and …