Grow your team on GitHub
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.
Sign upRepositories
-
flightmare
An Open Flexible Quadrotor Simulator
-
rpg_dvs_ros
ROS packages for DVS
-
rpg_flightmare_unity
A photorealistic rendering engine built on Unity
-
vimo
Visual-Inertial Model-based State and External Forces Estimator
-
rpg_quadrotor_control
Quadrotor control framework developed by the Robotics and Perception Group
-
vilib
CUDA Visual Library by RPG
-
deep_drone_acrobatics
Code for the project Deep Drone Acrobatics.
-
ze_oss
RPG fork of ze_oss
-
prophesee_ros_wrapper
Forked from prophesee-ai/prophesee_ros_wrapperROS driver for Prophesee event-based sensors
-
rpg_information_field
Information Field for Perception-aware Planning
-
rpg_esim
ESIM: an Open Event Camera Simulator
-
rpg_mpc
Model Predictive Control for Quadrotors with extension to Perception-Aware MPC
-
ICRA2020-FPV-VIO-Competition
FPV Drone Racing VIO competition.
-
IROS2019-FPV-VIO-Competition
FPV Drone Racing VIO competition.
-
rpg_eklt
Code for the paper "EKLT: Asynchronous, Photometric Feature Tracking using Events and Frames" (IJCV'19)
-
rpg_asynet
Code for the paper "Event-based Asynchronous Sparse Convolutional Networks" (ECCV, 2020).
-
-
IROS2020-FPV-VIO-Competition
FPV Drone Racing VIO Competition
-
sim2real_drone_racing
A Framework for Zero-Shot Sim2Real Drone Racing
-
rpg_trajectory_evaluation
Toolbox for quantitative trajectory evaluation of VO/VIO
-
rpg_quadrotor_common
Common functionality for rpg_quadrotor_control
-
rpg_vid2e
Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"
-
snn_angular_velocity
Event-Based Angular Velocity Regression with Spiking Networks
-
netvlad_tf_open
Tensorflow port of https://github.com/Relja/netvlad
-
pySeqSLAM
Forked from tmadl/pySeqSLAMPython SeqSLAM - port of Niko Sünderhauf's OpenSeqSLAM for place recognition
-
deep_uncertainty_estimation
This repository provides the code used to implement the framework to provide deep learning models with total uncertainty estimates as described in "A General Framework for Uncertainty Estimation in Deep Learning" (Loquercio, Segù, Scaramuzza. RA-L 2020).
-
uzh_fpv_open
Repo to accompany the UZH FPV dataset
-
rpg_event_representation_learning
Repo for learning event representations
-
rpg_e2vid
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).