Real-time point cloud alignment for vehicle localization in a high resolution 3D map
In this paper we introduce a Lidar based real time and accurate self localization approach
for self driving vehicles (SDV) in high resolution 3D point cloud maps of the environment …
for self driving vehicles (SDV) in high resolution 3D point cloud maps of the environment …
3D CNN-based semantic labeling approach for mobile laser scanning data
In this paper, we introduce a 3D convolutional neural network (CNN)-based method to
segment point clouds obtained by mobile laser scanning (MLS) sensors into nine different …
segment point clouds obtained by mobile laser scanning (MLS) sensors into nine different …
Online targetless end-to-end camera-LiDAR self-calibration
In this paper we propose an end-to-end, automatic, online camera-LIDAR calibration
approach, for application in self driving vehicle navigation. The main idea is to connect the …
approach, for application in self driving vehicle navigation. The main idea is to connect the …
SFM and semantic information based online targetless camera-LIDAR self-calibration
In this paper we propose an end-to-end, automatic, online camera-LIDAR calibration
approach, for application in self driving vehicle navigation. The main idea is to connect the …
approach, for application in self driving vehicle navigation. The main idea is to connect the …
Change detection in urban streets by a real time Lidar scanner and MLS reference data
In this paper, we introduce a new technique for change detection in urban environment
based on the comparison of 3D point clouds with significantly different density …
based on the comparison of 3D point clouds with significantly different density …
Bridging the gap between point cloud registration and connected vehicles
Connected vehicles can benefit from sharing and merging their observations to develop a
more complete understanding of the traffic scene and track traffic participants behind …
more complete understanding of the traffic scene and track traffic participants behind …
Registration of 3d point clouds using mean shift clustering on rotations and translations
IH Ferencz, I Shimshoni - 2017 International Conference on 3D …, 2017 - ieeexplore.ieee.org
In this paper a novel registration algorithm between 3D point clouds is presented. It exploits
the fact that current 3D point descriptors (eg, RoPS) are accompanied by local reference …
the fact that current 3D point descriptors (eg, RoPS) are accompanied by local reference …
[PDF][PDF] Adding Autonomous Features to a Production Electric Car
A project was launched at the Institute‒relying on interdepartmental synergies‒with the
intention of joining the autonomous vehicles R&D arena. In the frame of the project …
intention of joining the autonomous vehicles R&D arena. In the frame of the project …
Method and system for generating an environment model for positioning
B Gao, C Thiel, P Barnard - US Patent App. 17/344,387, 2021 - Google Patents
Method and system for generating an environment model for positioning include the
generation of a 3D model of a scanned environment from a mobile entity, the 3D model …
generation of a 3D model of a scanned environment from a mobile entity, the 3D model …
Scaling Data Sharing Among Vehicles to Tackle Long Tail Traffic Situations
H Li - 2021 - search.proquest.com
Developing robust driver assistance and automated driving technologies requires an
understanding of not just common highway and city traffic situations but also the long tail of …
understanding of not just common highway and city traffic situations but also the long tail of …