2007 IEEE Intelligent Vehicles Symposium最新文献_第8页

3D Candidate Selection Method for Pedestrian Detection on Non-Planar Roads 非平面道路上行人检测的三维候选选择方法

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290275

D. Fernández, I. Parra, M. Sotelo, P. Revenga, S. Alvarez, M. Gavilán

引用次数: 15

Determining Posterior Probabilities on the Basis of Cascaded Classifiers as used in Pedestrian Detection Systems 行人检测系统中基于级联分类器的后验概率确定

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290295

R. Schweiger, H. Hamer, O. Lohlein

引用次数: 13

A Multilevel Traffic Incidents Detection Approach: Identifying Traffic Patterns and Vehicle Behaviours using real-time GPS data 多层次交通事故检测方法:利用实时GPS数据识别交通模式和车辆行为

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290233

S. Kamran, O. Haas

引用次数: 45

Identification of Aerodynamic Coefficients of Ground Vehicles Using Neural Network 基于神经网络的地面车辆气动系数辨识

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290090

N. Ramli, S. Mansor, H. Jamaluddin, W. Faris

{"title":"Identification of Aerodynamic Coefficients of Ground Vehicles Using Neural Network","authors":"N. Ramli, S. Mansor, H. Jamaluddin, W. Faris","doi":"10.1109/IVS.2007.4290090","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290090","url":null,"abstract":"The purpose of this paper is to demonstrate the application of a combination of neural network and an oscillating model facility as an approach in identification of aerodynamic coefficients of ground vehicle. In literature study, a method for estimating transient aerodynamic data has been introduced and the aerodynamic coefficients are extracted from the measured time response by means of conventional approach. The potential of neural network as an alternative method is explored. For simplicity, only the damped oscillation considered in this analysis while neglecting any unsteadiness or buffeting load Two feedforward neural networks are constructed to estimate the damping ratio and natural frequency, respectively, from the measured time response recorded during the dynamic wind tunnel test. These two parameters are used to calculate the aerodynamic coefficients of the ground vehicle model. To validate the network approach, the resulted coefficients are compared with the ones retrieved conventionally. By simulating the system's transfer function, the response generated from neural network results were found to be closer to the measured time response compared to the response generated using the conventionally estimated coefficients.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121344788","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: 2

Gain Scheduled Active Steering Control Based on a Parametric Bicycle Model 基于参数化自行车模型的增益调度主动转向控制

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290276

S. C. Baslamisli, I. Polat, I. E. Kose

引用次数: 41

Navigation of Autonomous Vehicles in Unknown Environments using Reinforcement Learning 基于强化学习的未知环境下自动驾驶汽车导航

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290226

T. Martínez-Marín, Rafael Rodríguez

引用次数: 8

Robust Yaw Stability Controller Design for a Light Commercial Vehicle Using a Hardware in the Loop Steering Test Rig 基于硬件在环转向试验台的轻型商用车鲁棒偏航稳定性控制器设计

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290223

S. Oncu, S. Karaman, Levent Guvenc, S. Ersolmaz, E. Serdar Ozturk, E. Çetin, M. Sinal

{"title":"Robust Yaw Stability Controller Design for a Light Commercial Vehicle Using a Hardware in the Loop Steering Test Rig","authors":"S. Oncu, S. Karaman, Levent Guvenc, S. Ersolmaz, E. Serdar Ozturk, E. Çetin, M. Sinal","doi":"10.1109/IVS.2007.4290223","DOIUrl":"https://doi.org/10.1109/IVS.2007.4290223","url":null,"abstract":"This paper is on designing a multi-objective, robust parameter space steering controller for yaw stability improvement of a light commercial vehicle and its testing on a hardware-in-the-loop steering test rig. A linear single track model of the light commercial vehicle is used for controller design while its nonlinear version is used during hardware-in-the-loop simulations. The multi-objective design method used here maps D-stability, mixed sensitivity and phase margin bounds into the parameter space of chosen disturbance observer based steering controller filter parameters. The resulting controller design is tested using offline and hardware-in-the-loop simulations. A hardware-in-the-loop simulation test rig with the actual rack and pinion mechanism of the light commercial vehicle under study was built for this purpose. The steering control actuator is placed on the second pinion of the double pinion steering test system used. The hardware and geometry of the steering test rig are identical to the implementation of the steering system in the test vehicle. Unnecessary and expensive road testing is avoided with this approach as most problems are identified and solved in the hardware-in-the-loop simulation phase conducted in the laboratory where the steering subsystem and its controller exist as hardware and the rest of the vehicle being implemented exists as real time capable software. Hardware-in-the-loop simulation results show the effectiveness of the controller design proposed in this paper in tracking desired steering dynamics and in rejecting yaw disturbance moments.","PeriodicalId":190903,"journal":{"name":"2007 IEEE Intelligent Vehicles Symposium","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134582089","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: 43

Human Driver Model and Driver Decision Making for Intersection Driving 交叉口人类驾驶员模型与驾驶员决策

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290188

Yiting Liu, U. Ozguner

引用次数: 40

Road Sign Detection from Edge Orientation Histograms 基于边缘方向直方图的道路标志检测

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290246

B. Alefs, G. Eschemann, H. Ramoser, Csaba Beleznai

引用次数: 93

Assessing the maneuverability of tractor trailer systems in heavy goods transport 重型货物运输中牵引车拖车系统的机动性能评估

2007 IEEE Intelligent Vehicles Symposium Pub Date : 2007-06-13 DOI: 10.1109/IVS.2007.4290166

E. Balcerak, T. Weidenfeller, D. Zobel

引用次数: 2