2 papers
cs.CV2024
DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping
Kutay Yılmaz, Matthias Nießner, Anastasiia Kornilova +1
Recently, significant progress has been achieved in sensing real large-scale outdoor 3D environments, particularly by using modern acquisition equipment such as LiDAR sensors. Unfo…
cs.CV2024
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans
Cedric Perauer, Laurenz Adrian Heidrich, Haifan Zhang +3
Recently, progress in acquisition equipment such as LiDAR sensors has enabled sensing increasingly spacious outdoor 3D environments. Making sense of such 3D acquisitions requires f…