A review of multi-sensor fusion slam systems based on 3D LIDAR
X Xu, L Zhang, J Yang, C Cao, W Wang, Y Ran, Z Tan… - Remote Sensing, 2022 - mdpi.com
The ability of intelligent unmanned platforms to achieve autonomous navigation and
positioning in a large-scale environment has become increasingly demanding, in which …
positioning in a large-scale environment has become increasingly demanding, in which …
Aligning cyber space with physical world: A comprehensive survey on embodied ai
Deepvcp: An end-to-end deep neural network for point cloud registration
We present DeepVCP-a novel end-to-end learning-based 3D point cloud registration
framework that achieves comparable registration accuracy to prior state-of-the-art geometric …
framework that achieves comparable registration accuracy to prior state-of-the-art geometric …
Balm: Bundle adjustment for lidar map**
A local Bundle Adjustment (BA) on a sliding window of keyframes has been widely used in
visual SLAM and proved to be very effective in lowering the drift. But in lidar SLAM, BA …
visual SLAM and proved to be very effective in lowering the drift. But in lidar SLAM, BA …
[HTML][HTML] A review of laser scanning for geological and geotechnical applications in underground mining
Laser scanning can provide timely assessments of mine sites despite adverse challenges in
the operational environment. Although there are several published articles on laser …
the operational environment. Although there are several published articles on laser …
A review of mobile map** systems: From sensors to applications
The evolution of mobile map** systems (MMSs) has gained more attention in the past few
decades. MMSs have been widely used to provide valuable assets in different applications …
decades. MMSs have been widely used to provide valuable assets in different applications …
3d point cloud processing and learning for autonomous driving: Impacting map creation, localization, and perception
We present a review of 3D point cloud processing and learning for autonomous driving. As
one of the most important sensors in autonomous vehicles (AVs), lidar sensors collect 3D …
one of the most important sensors in autonomous vehicles (AVs), lidar sensors collect 3D …
Person-in-WiFi: Fine-grained person perception using WiFi
Fine-grained person perception such as body segmentation and pose estimation has been
achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (eg RF-Pose) …
achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (eg RF-Pose) …
LiTAMIN2: Ultra light LiDAR-based SLAM using geometric approximation applied with KL-divergence
In this paper, a three-dimensional light detection and ranging simultaneous localization and
map** (SLAM) method is proposed that is available for tracking and map** with 500 …
map** (SLAM) method is proposed that is available for tracking and map** with 500 …