areslp's repositories
ai-imu-dr
AI-IMU Dead-Reckoning
camera_calibration
Accurate geometric camera calibration with generic camera models
DeeperInverseCompositionalAlgorithm
Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)
DeepMapping
code/webpage for the DeepMapping project
Easy-Ipm-Client
An easy, interface friendly cross-platform client to generate bird's view images using inverse perspective mapping methods proposed in paper "Adaptive Inverse Perspective Mapping for Lane Map Generation with SLAM"
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
FasterSeg
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
GMS-Feature-Matcher
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 2017)
habitat-sim
A flexible, high-performance 3D simulator for Embodied AI research.
hardnet
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
imips_open
Matching Features Without Descriptors: Implicitly Matched Interest Points
IMUCalibration-Gesture
calibration for Imu and show gesture
Key.Net
Code for the ICCV19 paper Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters
LiDAR-GTA-V
A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.
lio-mapping
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
OpenARK
OpenARK is an open-source wearable augmented reality (AR) system founded at UC Berkeley in 2016. The C++ based software offers innovative core functionalities to power a wide range of off-the-shelf AR components, including see-through glasses, depth cameras, and IMUs.
PPGNet
Source code for our CVPR 2019 paper - PPGNet: Learning Point-Pair Graph for Line Segment Detection
pulp-dronet
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
pytorch-superglue
SuperGlue: Learning Feature Matching with Graph Neural Networks
sips2_open
Succinct Interest Points from Unsupervised Inlierness Probability Learning
SIVO
SIVO - Semantically Informed Visual Odometry and Mapping. Integrated Bayesian semantic segmentation with ORBSLAM_2 to select better features for Visual SLAM.
unsupervised_detection
An Unsupervised Learning Framework for Moving Object Detection From Videos