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Tong Zhao's Projects

3ddfa icon 3ddfa

The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

a-star-cpp icon a-star-cpp

C++ based A* algorithm to search a valid path in an occupancy grid

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

autogenu-jupyter icon autogenu-jupyter

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

barc icon barc

Main branch for BARC related code

casadi icon casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

cora icon cora

Toolbox for Reachability Analysis

cpptutorial icon cpptutorial

A C++ Tutorial made up of online collected examples and projects, have fun!

dfsmatlab icon dfsmatlab

A MATLAB implementation of the depth-first-search algorithm

drift icon drift

2D Drifting Mechanic in Unity

dubinsbr icon dubinsbr

Backward reachability based collision check and decision making with Dubins car model

error_log icon error_log

an error log for installing CommonRoad on Windows 10

flow icon flow

Computational framework for reinforcement learning in traffic control

genericparalleldynamicprogramming icon genericparalleldynamicprogramming

A generic parallel dynamic programming solver developed mostly for control purpose. This fork is for developing examples in vehicle dynamics.

justifydrift icon justifydrift

Justifying drift maneuver in an emergency driving scenario

loktavolterra icon loktavolterra

Different Approaches to solve the Lokta Volterra Fishery problem

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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