Autonomous Vehicles最新文献

Infrastructure Enabled Autonomy—Autonomy as a Service 基础设施支持自治——自治即服务

Autonomous Vehicles Pub Date : 2020-12-22 DOI: 10.1007/978-981-15-9255-3_8

Swaminathan Gopalswamy

引用次数: 1

Sensors for Automated Driving 用于自动驾驶的传感器

Autonomous Vehicles Pub Date : 2020-12-22 DOI: 10.1007/978-981-15-9255-3_6

S. Muckenhuber, Kenan Softić, A. Fuchs, G. Stettinger, D. Watzenig

引用次数: 3

Organizing-for-Innovation and New Models of Corporate Governance in the Automobile Firm of the Future 组织创新与未来汽车公司治理新模式

Autonomous Vehicles Pub Date : 2020-12-22 DOI: 10.1007/978-981-15-9255-3_10

M. Fenwick, E. Vermeulen

引用次数: 0

Who is Liable for the UBER Self-Driving Crash? Analysis of the Liability Allocation and the Regulatory Model for Autonomous Vehicles 谁该为UBER自动驾驶事故负责?自动驾驶汽车责任分配与监管模式分析

Autonomous Vehicles Pub Date : 2020-12-22 DOI: 10.1007/978-981-15-9255-3_5

Shan-Yo He

引用次数: 8

Alternative Position Estimation Systems for Micro Air Vehicles 微型飞行器的备选位置估计系统

Autonomous Vehicles Pub Date : 2020-06-05 DOI: 10.5772/intechopen.92224

Mathias Mantelli

引用次数: 0

Traditional and New Types of Passive Flow Control Techniques to Pave the Way for High Maneuverability and Low Structural Weight for UAVs and MAVs 传统和新型被动流量控制技术为无人机和小飞行器的高机动性和低结构重量铺平道路

Autonomous Vehicles Pub Date : 2020-01-23 DOI: 10.5772/intechopen.90552

M. Genç, K. Koca, H. Demir, H. H. Açıkel

{"title":"Traditional and New Types of Passive Flow Control Techniques to Pave the Way for High Maneuverability and Low Structural Weight for UAVs and MAVs","authors":"M. Genç, K. Koca, H. Demir, H. H. Açıkel","doi":"10.5772/intechopen.90552","DOIUrl":"https://doi.org/10.5772/intechopen.90552","url":null,"abstract":"Additional information is available at the end of the chapter Abstract Prevailing utilization of airfoils in the design of micro air vehicles and wind turbines causes to gain attention in terms of determination of flow characterization on these flight vehicles operating at low Reynolds numbers. Thus, these vehicles require flow control techniques to reduce flow phenomena such as boundary layer separation or laminar separation bubble (LSB) affecting aerodynamic performance negatively. This chapter presents a detailed review of traditional passive control techniques for flight vehicle applications operating at low Reynolds numbers. In addition to the traditional methods, a new concept of the pre-stall controller by means of roughness material , flexibility and partial flexibility is highlighted with experimental and numerical results. Results indicate that passive flow control methods can dramatically increase the aerodynamic performance of the aforementioned vehicles by controlling the LSB occurring in the pre-stall region. The control of the LSB with new concept pre-stall control techniques provides lift increment and drag reduction by utilizing significantly less matter consumption and low energy. In particular, new types of these methods presented for the first time by the chapter’s authors have enormously influenced the progress of separation and LSB, resulting in postponing of the stall and enhancing the aerodynamic performance of wind turbine applications.","PeriodicalId":262453,"journal":{"name":"Autonomous Vehicles","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132447760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Sky-Farmers: Applications of Unmanned Aerial Vehicles (UAV) in Agriculture 天空农民:无人机(UAV)在农业中的应用

Autonomous Vehicles Pub Date : 2019-12-17 DOI: 10.5772/intechopen.89488

C. Yinka-banjo, Olasupo O. Ajayi

引用次数: 38

Robust Outdoor Vehicle Visual Tracking Based on k-Sparse Stacked Denoising Auto-Encoder 基于k-稀疏堆叠去噪自编码器的鲁棒室外车辆视觉跟踪

Autonomous Vehicles Pub Date : 2018-11-05 DOI: 10.5772/INTECHOPEN.80089

J. Xin, Xing Du, Yaqian Shi, Jian Zhang, Ding Liu

{"title":"Robust Outdoor Vehicle Visual Tracking Based on k-Sparse Stacked Denoising Auto-Encoder","authors":"J. Xin, Xing Du, Yaqian Shi, Jian Zhang, Ding Liu","doi":"10.5772/INTECHOPEN.80089","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.80089","url":null,"abstract":"Robust visual tracking for outdoor vehicle is still a challenging problem due to large object appearance variations caused by illumination variation, occlusion, and fast motion. In this chapter, k-sparse constraint is added to the encoder part of stacked auto-encoder network to learn more invariant feature of object appearance, and a stacked k-sparse-autoencoder–based robust outdoor vehicle tracking method under particle filter inference is further proposed to solve the problem of appearance variance during the tracking. Firstly, a stacked denoising auto-encoder is pre-trained to learn the generic feature representation. Then, a k-sparse constraint is added to the stacked denoising auto-encoder, and the encoder of k-sparse stacked denoising auto-encoder is connected with a classification layer to construct a classification neural network. Finally, confidence of each particle is computed by the classification neural network and is used for online tracking under particle filter framework. Comprehensive tracking experiments are conducted on a challenging single-object tracking benchmark. Experimental results show that our tracker outperforms most state-of-the-art trackers.","PeriodicalId":262453,"journal":{"name":"Autonomous Vehicles","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131798771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Estimation of an AUV Portable Intelligent Rescue System Based on Attitude Recognition Algorithm 基于姿态识别算法的AUV便携式智能救援系统设计与估计

Autonomous Vehicles Pub Date : 2018-11-05 DOI: 10.5772/INTECHOPEN.79980

Shengqiang Shen, Yi-Ting Yang

{"title":"Design and Estimation of an AUV Portable Intelligent Rescue System Based on Attitude Recognition Algorithm","authors":"Shengqiang Shen, Yi-Ting Yang","doi":"10.5772/INTECHOPEN.79980","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.79980","url":null,"abstract":"This research is based on the attitude sensing algorithm to design a portable intelligent rescue system for autonomous underwater vehicles (AUVs). To lower the possibility of losing the underwater vehicle and reduce the difficulty of rescuing, when an AUVintelligent rescue system (AIRS) detects the fault of AUVs and they could not be reclaimed, AIRS can pump carbon dioxide into the airbag immediately to make the vehicle resurface. AIRS consists of attitude sensing module, double-trigger inflator mechanism, and activity recognition algorithm. The sensing module is an eleven-DOF sensor that is made up of a six-axis inertial sensor, a three-axis magnetometer, a barometer, and a thermometer. Furthermore, the signal calibration and extended Kalman filter (SC-EKF) is proposed to be used subse- quently to calibrate and fuse the data from the sensing module. Then, the attitude data are classified with the principle of feature extraction (FE) and backpropagation network (BPN) classifier. Finally, the designed double-trigger inflator can be triggered not only by electricity but also by water damage when the waterproof cabin is severely broken. With the AIRS technology, the safety of detecting and investigating the use AUVs can be increased since there is no need to send divers to engage in the rescue mission under water.","PeriodicalId":262453,"journal":{"name":"Autonomous Vehicles","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115547676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual Simulation Platform for Training Semi-Autonomous Robotic Vehicles’ Operators 半自主机器人车辆操作员训练虚拟仿真平台

Autonomous Vehicles Pub Date : 2018-11-05 DOI: 10.5772/INTECHOPEN.79600

C. Chin, X. Zhong, Rongxin Cui, Chenguang Yang, M. Venkateshkumar

引用次数: 3