76 citations · 95 across the 6 of their papers we have counts for
8 papers
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation
Sambit Mohapatra, Mona Hodaei, Senthil Yogamani +5
Moving object detection and segmentation is an essential task in the Autonomous Driving pipeline. Detecting and isolating static and moving components of a vehicle's surroundings a…
StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks
Kai Fischer, Martin Simon, Florian Oelsner +3
Robust point cloud registration in real-time is an important prerequisite for many mapping and localization algorithms. Traditional methods like ICP tend to fail without good initi…
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving
Senthil Yogamani, Ciaran Hughes, Jonathan Horgan +14
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence…
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds
Martin Simon, Karl Amende, Andrea Kraus +5
Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robot…
Points2Pix: 3D Point-Cloud to Image Translation using conditional Generative Adversarial Networks
Stefan Milz, Martin Simon, Kai Fischer +1
We present the first approach for 3D point-cloud to image translation based on conditional Generative Adversarial Networks (cGAN). The model handles multi-modal information sources…
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
Timo Sämann, Karl Amende, Stefan Milz +3
The ability to perform semantic segmentation in real-time capable applications with limited hardware is of great importance. One such application is the interpretation of the visua…
Complex-YOLO: Real-time 3D Object Detection on Point Clouds
Martin Simon, Stefan Milz, Karl Amende +1
Lidar based 3D object detection is inevitable for autonomous driving, because it directly links to environmental understanding and therefore builds the base for prediction and moti…
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision
Varun Ravi Kumar, Stefan Milz, Martin Simon +5
Near field depth estimation around a self driving car is an important function that can be achieved by four wide angle fisheye cameras having a field of view of over 180. Depth est…