zyzhangyue的博客

This thesis discusses possibilities to enhance the performance of modern integrated navigation systems that process inertial sensor measurements, GNSS measurements and observations of other (innovative) aiding methods. The focus is on the statistical consistency of the navigation solution, that is the coincidence of the true and the predicted navigation error statistics, which is an important precondition for the reliable functioning of innovation based fault detection and isolation methods.

SMM_统计学思维导图

机器学习知识点彩图版ppt,297 pages

Uber近几年的论文，深度学习，无人驾驶，增强学习等方面内容 Uber近几年的论文，深度学习，无人驾驶，增强学习等方面内容 Uber近几年的论文，深度学习，无人驾驶，增强学习等方面内容

ICRA12_A Real-Time Motion Planner with Trajectory Optimization for Autonomous Vehicles.pdf IEEE_CASE2014_Design of Lane Keeping System Using Adaptive Model Predictive Control.pdf IEEE_CDC2012_Werling_AutomaticCollisionAvoidanceUsingModel-predictiveOnlineOptimization.pdf IEEE_ICRA2010_werling-optimal-trajectory-generation-for-dynamic-street-scenarios-in-a-frenet-frame.pdf IEEE_IROS2016_Snider_Automated Tactical Maneuver Discovery, Reasoning and Trajectory Planning for Automated Driving.pdf IEEE_ITSC2005_A new approach to lane guidance systems.pdf IEEE_ITSC2011_Algebraic nonlinear estimation and flatness-based lat lon conrol or automotive vehicles.pdf IEEE_ITSC2011_The H2-Optimal Preview Controller for a Shared Lateral Control.pdf IEEE_ITSC2013_Linear Model Predictive Control for Lane Keeping and Obstacle Avoidance on Low Curvature Roads.pdf IEEE_ITSC2016_Optimal Trajectory Planning for Autonomous Driving Integrating Logical Constraints_An MIQP Perspective.pdf IEEE_IV2010_Safety Verification of Autonomous Vehicles for Coordinated Evasive Maneuvers.pdf IEEE_IV2012_Learning Lane Change Trajectories From On-road Driving Data.pdf IEEE_IV2013_Higher_Order_Sliding_Mode_Control_for_Lateral_Dynamics_V0.pdf IEEE_IV2013_Robust Predictive Control for Semi-Autonomous Vehicles with an certain drivier model.pdf IEEE_IV2013_Snider_Focused Trajectory Planning for Autonomous On-Road Driving.pdf IEEE_TransHMS2017_Modeling, Identification, and Predictive Control of a Driver Steering Assistance System.pdf IEEE_TransSMC_2009Combined Automatic Lane-Keeping and Driver's Steering Through a 2-DOF Control Strategy.pdf" IEEE-TransIE2014_A real time energy optimal trajectory generation method for a servomotor system.pdf IEEE-TransITS2014_Ziegler_Making Bertha Drive-An Autonomous Journey on a Historic Route.pdf IJRR_Journal_2012_Werling_Optimal-trajectories-for-time-critical-street-scenarios-using-discretized-terminal-manifolds.pdf IROS_2015_Tunable and Stable Real-Time Trajectory Planning for Urban Autonomous Driving.pdf AI Model for Behaviour Arbitration.pdf Automatic_Steering_Methods_for_Autonomous_Automobile_Path_Tracking.pdf AVEC_2015_Lane Keeping Assistance with Learning-Based Driver Model and Model Predictive Control.pdf hoffmann_stanley_control07.pdf IAS_2014_On-Road Trajectory Planning for General Autonomous Driving with Enhanced Tunability.pdf ICINCO_2017_Time-Energy Optimal Trajectory Planning over a Fixed Path for a Wheel Mobile Robot.pdf ICIRA2012_On-Road Motion Planning for autonomous driving.pdf ICRA_2011_Energy-Optimal Velocity Profiles for Car-Like Robots.pdf

Python核心知识体系思维导图.rar

Computer Vision III: Detection, Segmentation and Tracking ppt Content Lecture 1: Introduction Lecture 2: Two-stage detectors (RCNN, Fast RCNN, Faster RCNN) Lecture 3: One-stage detectors (YOLO, RetinaNet) Lecture 4: Single/multi-object tracking Lecture 5: Multiple object tracking (Message Passing Networks) Lecture 6: Pedestrian Trajectory Prediction (GANs) Lecture 7: Semantic segmentation Lecture 8: Instance segmentation Lecture 9: Video object segmentation Lecture 10: 3D Tracking and segmentation

Doppler Radar Speed Measurement Based On A 24 GHz Radar Sensor

Vehicle Tracking with Heading Estimation using a Mono Camera System

An Overview on Target Tracking Using Multiple Model methods

某大牛重新编写的C++版本TLD跟踪算法,脱离MATLAB。OpenTLD-master，某大牛重新编写的C++版本TLD跟踪算法，脱离MATLAB。-C++ impleletion of TLD

sift程序，用于图像特征提取和图像的匹配，功能很强大-Sift program for image feature extraction and image matching, function is very powerful

边缘检测和图像分割代码-Code for the Edge Detection and Image Segmentation system-Edge detection and image segmentation code-Code for the Edge Detection and Image Segmentation system

利用Hog特征和SVM分类器进行行人检测 ，已测试过，可使用

bgslibrary：实现了二十来种视频前景提取的算法，The BGSLibrary was developed by Andrews Sobral and provides a C++ framework to perform background subtraction (BGS). The code works either on Windows or on Linux.

OpenCV教程_基础篇code，比较基础，opencv1.0 版本

OpenCV3编程入门code，学习OpenCV参考代码，比较基础

《MATLAB在语音信号分析和合成中的应用》MATLAB程序