2012 IEEE Intelligent Vehicles Symposium最新文献_第5页

Generating approximative minimum length paths in 3D for UAVs 生成无人机三维近似最小长度路径

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232120

Flemming Schøler, A. L. Cour-Harbo, M. Bisgaard

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引用次数: 23

Robust road boundary estimation for intelligent vehicles in challenging scenarios based on a semantic graph 基于语义图的智能车辆挑战性场景鲁棒道路边界估计

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232149

Chunzhao Guo, Takayuki Yamabe, S. Mita

引用次数: 15

Track-to-track fusion with asynchronous sensors and out-of-sequence tracks using information matrix fusion for advanced driver assistance systems 先进驾驶辅助系统中基于异步传感器的轨道到轨道融合和基于信息矩阵融合的无序轨道融合

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232115

M. Aeberhard, A. Rauch, Marcin Rabiega, N. Kaempchen, T. Bertram

引用次数: 17

Probabilistic trajectory prediction with Gaussian mixture models 高斯混合模型的概率轨迹预测

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232277

J. Wiest, M. Höffken, U. Kressel, K. Dietmayer

{"title":"Probabilistic trajectory prediction with Gaussian mixture models","authors":"J. Wiest, M. Höffken, U. Kressel, K. Dietmayer","doi":"10.1109/IVS.2012.6232277","DOIUrl":"https://doi.org/10.1109/IVS.2012.6232277","url":null,"abstract":"In the context of driver assistance, an accurate and reliable prediction of the vehicle's trajectory is beneficial. This can be useful either to increase the flexibility of comfort systems or, in the more interesting case, to detect potentially dangerous situations as early as possible. In this contribution, a novel approach for trajectory prediction is proposed which has the capability to predict the vehicle's trajectory several seconds in advance, the so called long-term prediction. To achieve this, previously observed motion patterns are used to infer a joint probability distribution as motion model. Using this distribution, a trajectory can be predicted by calculating the probability for the future motion, conditioned on the current observed history motion pattern. The advantage of the probabilistic modeling is that the result is not only a prediction, but rather a whole distribution over the future trajectories and a specific prediction can be made by the evaluation of the statistical properties, e.g. the mean of this conditioned distribution. Additionally, an evaluation of the variance can be used to examine the reliability of the prediction.","PeriodicalId":402389,"journal":{"name":"2012 IEEE Intelligent Vehicles Symposium","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114119384","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: 279

Towards a generic and efficient environment model for ADAS 建立通用高效的ADAS环境模型

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232146

Ralph Grewe, A. Hohm, Stefan Hegemann, S. Lüke, H. Winner

引用次数: 22

Accident reproduction system for the identification of human factors involved on traffic accidents 事故再现系统用于识别交通事故中涉及的人为因素

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232126

O. Siordia, Isaac Martín de Diego, C. Conde, E. Cabello

引用次数: 8

Estimating driving behavior by a smartphone 通过智能手机估计驾驶行为

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232298

H. Eren, Semiha Makinist, E. Akin, Alper Yilmaz

引用次数: 279

Localization in digital maps for road course estimation using grid maps 基于栅格地图的道路路线估计数字地图定位

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232218

M. Konrad, Dominik Nuss, K. Dietmayer

引用次数: 26

Pedestrian candidates generation using monocular cues 使用单目线索生成行人候选者

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232117

Diego Cheda, D. Ponsa, Antonio M. López

引用次数: 7

Manual convoying of automated urban vehicles relying on monocular vision 依靠单目视觉的自动城市车辆的人工运输

2012 IEEE Intelligent Vehicles Symposium Pub Date : 2012-06-03 DOI: 10.1109/IVS.2012.6232128

P. Avanzini, B. Thuilot, P. Martinet

引用次数: 11