收养中心的宠物模拟器，
A Pet Simulator at an Adoption Center, (2023-01-20, C#, 0KB, 下载0次)
Udacity自动驾驶汽车纳米级-无中心卡尔曼滤波器实现，
Udacity Self-Driving Car Nanodegree - Unscented Kalman Filter Implementation, (2018-10-30, C++, 0KB, 下载0次)
使用更快的RCNN和以对象为中心的网络的多驾驶行为预测模型。，
Multiple driving action prediction model using Faster-RCNN and object-centric network., (2019-09-20, Jupyter Notebook, 0KB, 下载0次)
我对Udacity自驾汽车工程师纳米级无中心卡尔曼滤波器项目的解决方案。，
My solution to the Udacity Self-Driving Car Engineer Nanodegree Unscented Kalman Filter project., (2017-04-25, C++, 0KB, 下载0次)
使用CNN，以中心前图像为输入，预测汽车的转向角。，
Predict the steering angle of the car using CNN with center front image as input., (2017-01-07, Python, 0KB, 下载0次)
为了在购物中心停车，我们必须先从门卫那里拿到罚单。万一我们弄丢了票，它就会...，
In order to park our vehicles in malls, we would have to get a ticket first from the gate keeper. In case we loose the ticket, it would be troublesome for us to exit the mall. Therefore, this project offers an IOT based solution to this problem. (2018-04-10, Python, 0KB, 下载0次)
灵感来自Social LSTM的表现。我创建了一个模型，可以在5秒内预测车辆的轨迹。该模型以LSTM为中心...，
Inspired by the performence of Social LSTM. I created a model that could predict vehicle s trajectory in 5s. The model uses LSTM as center. I trained it at NGSIM. Still fix it... (2021-01-04, Python, 0KB, 下载0次)
FB-BEV和FB-OCC是基于前后视图变换策略的以视觉为中心的自主驾驶感知算法。，
FB-BEV and FB-OCC are vision-centric autonomous driving perception algorithm based on forward-backward view transformation strtegies., (2023-08-01, Others, 0KB, 下载0次)
汽车服务中心管理系统，
Automobile Service Center Management System, (2020-02-21, PHP, 0KB, 下载0次)
谷歌用户体验剧本（零售、金融、汽车、旅游、房地产、医疗保健、Lead Gen、新闻和内容），
Google UX playbooks (Retail, Finance, Automobile, Travel, Real Estate, Healthcare, Lead Gen, News and content), (2020-11-12, Others, 0KB, 下载0次)
...中心。该结构固定在木质底座上。该算法的目标是找到最优的PID常数，并对其进行优化...
This repository contains an autotune PID controller algorithm. It has three different optimization algorithms: GA, PSO, and VNS, which are used separately. The algorithm was used in a structure with two brushless motors on its edges and an IMU 6050 on the center. This structure is fixed on a wood base. The goal of this algorithm is to find the (2020-12-16, C++, 17KB, 下载0次)
标致信息娱乐项目的Gui应用程序
Gui app for the Peugeot infotainment project (2022-10-09, C++, 20204KB, 下载0次)
汽车数据中心
Automotive Data Center (2019-04-03, JavaScript, 10099KB, 下载0次)
此提交包含一组.mlapp文件和.m函数文件，用于计算滚动中心高度。...
This submission contains a set of the .mlapp file and the .m function files to calculate the roll-center height. The model is built for the student teams participating in the automotive competitions. (2021-01-22, matlab, 3584KB, 下载0次)
Yocto层提供车内信息娱乐相关功能和自适应
Yocto layer providing In-Vehicle Infotainment related functionality and adaptations (2019-11-26, BitBake, 93KB, 下载0次)
Dynamics 365正在发布行业加速器，以使ISV、SI和合作伙伴能够快速构建以行业为中心的服务，以便...
Dynamics 365 is releasing Industry Accelerators to enable ISVs, SIs and Partners to rapidly build industry focused solutions on top of our Business Application and Intelligence Platforms. These accelerators are created through a close partnership with internal Product , Sales, Service, Marketing, Field and Vertical Teams, with feedback from (2022-11-28, C#, 30137KB, 下载0次)
...、控制器（自动驾驶仪）、可视化工具和指挥中心飞行监控工具。此外，几乎所有的avioni...
Makani was a project to develop a commercial-scale airborne wind turbine, culminating in a flight test of the Makani M600 off the coast of Norway. All Makani software has now been open-sourced. This repository contains the working Makani flight simulator, controller (autopilot), visualizer, and command center flight monitoring tools. Additionall... (2021-10-25, C++, 215272KB, 下载0次)
中国交大以人为中心的计算实验室项目
Human Centric Computing Lab Project at NCTU (2022-01-29, ASP.NET, 30649KB, 下载0次)
研讨会论文“以人为中心的方法生成Na中的因果解释”中的方法的实现...
Implementation of the method from the workshop paper "A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning" (2022-06-27, Python, 40KB, 下载0次)
masked_orb_slam，“掩蔽orb-SLAM3：使用掩蔽的自动驾驶场景的动态元素排除”的中心项目回购...
The central project repo of "Masked ORB-SLAM3: Dynamic Element Exclusion for Autonomous Driving Scenarios Using Masked R-CNN for Increased Localization Accuracy". This was the major design project for EECS568. (2022-12-20, C++, 360845KB, 下载0次)