Simon0323

AMoD

Autonomous Mobility On-Demand Using Deep Learning

A-star-RRT-Motion-Planning

Implement A*, RRT and kinodynamic RRT for path and robot manipulation planning in simulation environment.

EECS442-Computer-Vision

Include feature detection, image stitching, PCA, RANSCA and ICP

EECS598-Deep-Learning

Including CNN, RNN, LSTM for image classification, image caption, sentence classification.

Landmark-based-SLAM

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

TE-ORB_SLAM2

This repository utilizes the high-dimensional info extracted from YOLO v3 and merges it in ORB-SLAM2.

Simon0323/A-star-RRT-Motion-Planning

Implement A*, RRT and kinodynamic RRT for path and robot manipulation planning in simulation environment.

Simon0323/EECS442-Computer-Vision

Include feature detection, image stitching, PCA, RANSCA and ICP

Simon0323/EECS598-Deep-Learning

Including CNN, RNN, LSTM for image classification, image caption, sentence classification.

Simon0323/Landmark-based-SLAM

Simon0323/pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Simon0323/singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

Simon0323/TE-ORB_SLAM2

This repository utilizes the high-dimensional info extracted from YOLO v3 and merges it in ORB-SLAM2.