Sang Phan's repositories
Codes-for-Lane-Detection
Tensorflow implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" (AAAI 2018)
conv-social-pooling
Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018
cst_captioning
PyTorch Implementation of Consensus-based Sequence Training for Video Captioning
darknet_ros
YOLO ROS: Real-Time Object Detection for ROS
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model
local-feature-evaluation
Comparative Evaluation of Hand-Crafted and Learned Local Features
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
open-source-rover
A build-it-yourself, 6-wheel rover based on the rovers on Mars!
Open3D_TrueDepth_registration
Automatic point cloud registration from Apple's TrueDepth camera system using Open3D
plsang.github.io
my profile
rviz
ROS 3D Robot Visualizer
self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
social-lstm-1
Social LSTM implementation in PyTorch
Spectral-Trajectory-and-Behavior-Prediction
This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Trajectron-plus-plus
Code accompanying "Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
tutorial-se3-manifold
LaTeX sources of the technical report "A tutorial on SE(3) transformation parameterizations and on-manifold optimization"
visual-semantic-embedding
Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"