Automated driving systems use multi-modal sensor suites to ensure the
re...
Moving object detection and segmentation is an essential task in the
Aut...
LiDAR based 3D object detection is a crucial module in autonomous drivin...
A 360 perception of scene geometry is essential for automated driving,
n...
State-of-the-art self-supervised learning approaches for monocular depth...
In classical computer vision, rectification is an integral part of multi...
StickyPillars introduces a sparse feature matching method on point cloud...
Localization and Mapping is an essential component to enable Autonomous
...
Fisheye cameras are commonly used in applications like autonomous drivin...
Fisheye cameras are commonly employed for obtaining a large field of vie...
Accurate detection of 3D objects is a fundamental problem in computer vi...
Recently, realistic data augmentation using neural networks especially
g...
High performance ultrasonic sensor hardware is mainly used in medical
ap...
Convolutional Neural Networks (CNNs) are successfully used for the impor...
We present the first approach for 3D point-cloud to image translation ba...
Neural networks have become the standard model for various computer visi...
The ability to perform semantic segmentation in real-time capable
applic...
Lidar based 3D object detection is inevitable for autonomous driving, be...
Near field depth estimation around a self driving car is an important
fu...