A novel, deep-learning software solution for the automatic roofing material classification of the Dutch building stock using state-of-the art deep learning and data fusion techniques.
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Updated
May 22, 2024 - Jupyter Notebook
A novel, deep-learning software solution for the automatic roofing material classification of the Dutch building stock using state-of-the art deep learning and data fusion techniques.
The project presents a drone obstacle avoidance system using Microsoft AirSim and the DDPG algorithm, training drones with LIDAR and depth sensors for improved real-time navigation. It compares the implementation of DDPG algorithm with different sensors and their combination.
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
DTU course 34761 Robot Autonomy, Spring 2024
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
HETEAC-Flex is an aerosol typing scheme based on the optimal estimation method (OEM) and it allows the identification of up to four different aerosol components of an aerosol mixture, as well as the quantification of their contribution to the aerosol mixture in terms of relative volume.
An improved AHN3 gridded DTM/DSM done as university project for the MSc Geomatics @ TU Delft
A curated list of Place Recognition methods, datasets, and various algorithms for LiDAR
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Airborne LiDAR data manipulation and visualisation for forestry application
Wheeled mobile robot
Automatic Lidar and Ceilometer Processing Framework (ALCF)
A curated list of awesome data labeling tools
Open source solution for inspecting and generating 3D Tiles for urban environments
Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.
LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic
An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
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