You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Simulation systems have become essential to the development and validation of
autonomous driving (AD) technologies. The prevailing state-of-the-art approach for …

Point cloud registration is the process of aligning point clouds collected at different locations
of the same scene, which transforms the data into a common coordinate system and forms …

We introduce the Precise Synthetic Image and LiDAR (PreSIL) dataset for autonomous
vehicle perception. Grand Theft Auto V (GTA V), a commercial video game, has a large …

One of the fundamental challenges to scale self-driving is being able to create accurate high
definition maps (HD maps) with low cost. Current attempts to automate this pro-cess typically …

In recent years, deep learning models have resulted in a huge amount of progress in various
areas, including computer vision. By nature, the supervised training of deep models requires …

The recent success of deep learning in 3-D data analysis relies upon the availability of large
annotated data sets. However, creating 3-D data sets with point-level labels are extremely …

Recently, researchers have realized a number of achievements involving deep-learning-
based neural networks for the tasks of segmentation and detection based on 2D images, 3D …

Road curb detection is essential for autonomous vehicles to locate themselves and make a
rational decision, especially under road discontinuities, obstacle occlusions, and curved …

Road boundary detection is essential for autonomous vehicle localization and decision-
making, especially under GPS signal loss and lane discontinuities. For road boundary …