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minxuan's Projects

dpptam icon dpptam

DPPTAM: Dense Piecewise Planar Tracking and Mapping from a Monocular Sequence

drake icon drake

Model-based design and verification for robotics.

dre_slam icon dre_slam

RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments

dsm icon dsm

Direct Sparse Mapping

dsol icon dsol

DSOL: Direct Sparse Odometry Lite

dynaslam icon dynaslam

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

espnet icon espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

evo icon evo

Python package for the evaluation of odometry and SLAM

exp4nav icon exp4nav

(ICLR 2019) Learning Exploration Policies for Navigation

fastmcd icon fastmcd

implementation of the paper "Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device", CVPRW13

fuse icon fuse

The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.

fusion-ukf icon fusion-ukf

An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

g2o icon g2o

g2o: A General Framework for Graph Optimization

gibsonenv icon gibsonenv

Gibson Environments: Real-World Perception for Embodied Agents

graphsfm icon graphsfm

Robust and Efficient Graph-based Structure from Motion

handeye_calib_camodocal icon handeye_calib_camodocal

Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.

hd3 icon hd3

Code for Hierarchical Discrete Distribution Decomposition for Match Density Estimation (CVPR 2019)

icpcuda icon icpcuda

Super fast implementation of ICP in CUDA for compute capable devices 3.5 or higher

jetson-car icon jetson-car

Autonomous Racing Car using NVIDIA Jetson TX2 using end-to-end driving approach. Paper: https://arxiv.org/abs/1604.07316

kimera-vio icon kimera-vio

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

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