TravisZhang
Algorithm Engineer @ Xpeng Motors Focusing on autonomous vehicle & robotics
Xpeng MotorsBeijing, China
Pinned Repositories
Algorithm_Class_Problem_Sample_Code
This repo is the sample code of online vedio class “高频算法面试精讲”
AlgorithmImplementations
Implementation of Elementary Algorithms (infix-prefix-postfix-evaluation-to-longest-common-increasing-sub-sequence-activity-selection-balance-kd-binary-heap-binomial-tree-breath-depth-first-search-max-flow-shortest-path-topological-sort-calculus-derivative-integration-forward-interpolation-simpson-rule-intersecting-area-non-linear-equation-jacobis-gauss-seidal-bisection-false-position-newton-raphson-fixed-point-secant-cigarette-smokers-genetic-huffman-a-a*-star-binary-knuth-morris-pratt-kmp-quick-thread-priority-based-premitive-shortest-job-non-primitive-arithmetic-expression-data-structures-list-node-implementation-one-two-way-linked-stack-string-graph-numerical-methods-equation-solving-solve-process-problem-search-sort-prime-ugly-friend-perfect-fibonacci-factorial-factor-number)
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
CarND-Extended-Kalman-Filter-Project
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
CarND-MPC-Project
CarND Term 2 Model Predictive Control (MPC) Project
CarND-MPC-Quizzes
CarND MPC Quizzes
CartesianPlanner
Source codes related to “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Lane-Change-Simulation
This is an C++ implementation of lane change decision making in simulated autonomous driving, path planning and markov decision process as well as particle filters are considered
planning-algorithms
My own realizations of different types of planning algorithms
TravisZhang's Repositories
TravisZhang/planning-algorithms
My own realizations of different types of planning algorithms
TravisZhang/CartesianPlanner
Source codes related to “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems
TravisZhang/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
TravisZhang/CICT
TravisZhang/cpp_test
c++ test progarms
TravisZhang/CppND-Capstone-Snake-Game
A 2D Snake game using C++ and SDL
TravisZhang/CppND-Garbage-Collector
Project starter code for the Garbage Collector project.
TravisZhang/CppNumericalSolvers
a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)
TravisZhang/data-structure-algorithms
TravisZhang/data-structure-algorithms-p2
Project 2 of udacity nanodegree Data Structures & Algorithms
TravisZhang/data-structure-algorithms-p3
TravisZhang/data-structure-algorithms-p4
TravisZhang/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
TravisZhang/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
TravisZhang/digital-image-processing-course
TravisZhang/ego-planner
TravisZhang/EPSILON
TravisZhang/eudm_planner
Implementation of the paper "Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching".
TravisZhang/FIESTA
Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots
TravisZhang/HybridAstar
TravisZhang/kalman_filter
A test version of extended kalman filter
TravisZhang/kd_tree
TravisZhang/MSCKF
MSCKF 中文注释版
TravisZhang/OnRoadPlanner_IFAC2020
TravisZhang/PolyTraj
TravisZhang/PythonLinearNonlinearControl
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
TravisZhang/QuadcopterOrientation
Simulation of the orientaion of a quadcopter
TravisZhang/sensor-fusion-course
TravisZhang/simple-neural-network
A simple multi-layer fully connected neural network implementation in python
TravisZhang/state-estimation-course