2010 IEEE Intelligent Vehicles Symposium最新文献_第3页

Fusion of occupancy grid mapping and model based object tracking for driver assistance systems using laser and radar sensors 基于激光和雷达传感器的驾驶辅助系统中占用网格映射和基于模型的目标跟踪的融合

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548106

Mohamed Essayed Bouzouraa, U. Hofmann

引用次数: 90

Vision-based bicyclist detection and tracking for intelligent vehicles 基于视觉的智能车辆骑车人检测与跟踪

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548063

Hyunggi Cho, P. Rybski, Wende Zhang

{"title":"Vision-based bicyclist detection and tracking for intelligent vehicles","authors":"Hyunggi Cho, P. Rybski, Wende Zhang","doi":"10.1109/IVS.2010.5548063","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548063","url":null,"abstract":"This paper presents a vision-based framework for intelligent vehicles to detect and track people riding bicycles in urban traffic environments. To deal with dramatic appearance changes of a bicycle according to different viewpoints as well as nonrigid nature of human appearance, a method is proposed which employs complementary detection and tracking algorithms. In the detection phase, we use multiple view-based detectors: frontal, rear, and right/left side view. For each view detector, a linear Support Vector Machine (SVM) is used for object classification in combination with Histograms of Oriented Gradients (HOG) which is one of the most discriminative features. Furthermore, a real-time enhancement for the detection process is implemented using the Integral Histogram method and a coarse-to-fine cascade approach. Tracking phase is performed by a multiple patch-based Lucas-Kanade tracker. We first run the Harris corner detector over the bounding box which is the result of our detector. Each of the corner points can be a good feature to track and, in consequence, becomes a template of each instance of multiple Lucas-Kanade trackers. To manage the set of patches efficiently, a novel method based on spectral clustering algorithm is proposed. Quantitative experiments have been conducted to show the effectiveness of each component of the proposed framework.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131090181","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: 45

Camera-based bidirectional reflectance measurement for road surface reflectivity classification 基于摄像头的双向反射率测量路面反射率分类

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548129

Martin Roser, Philip Lenz

引用次数: 9

Vehicle localisation using a single camera 使用单个摄像头进行车辆定位

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548101

J. Cui, Fuqiang Liu, Zhi-peng Li, Zhen Jia

{"title":"Vehicle localisation using a single camera","authors":"J. Cui, Fuqiang Liu, Zhi-peng Li, Zhen Jia","doi":"10.1109/IVS.2010.5548101","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548101","url":null,"abstract":"Lots of rear end collisions due to driver inattention have been identified as a major automotive safety issue. A short advance warning can reduce the number and severity of the rear end collisions. This paper describes a Forward Collision Warning (FCW) system based on monocular vision, and presents a new vehicle detection method: appearance-based hypothesis generation, template tracking-based hypothesis verification which can remove false positive detections and automatic image matting for detection refinement. The FCW system uses time to collision (TTC) to trigger the warning.In order to compute time to collision (TTC), firstly, haar and adaboost algorithm is utilized to detect the vehicle; Secondly, we use simplified Lucas-Kanade algorithm and virtual edge to remove false positive detection and use automatic image matting to do detection refinement; Thirdly, hierarchical tracking system is introduced for vehicle tracking; Camera calibration is utilized to get the headway distance and TTC at last. The use of a single low cost camera results in an affordable system which is simple to install. The FCW system has been tested in outdoor environment, showing robust and accurate performance.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114669903","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: 47

Drivable road region detection using a single laser range finder for outdoor patrol robots 用于户外巡逻机器人的单激光测距仪可驾驶道路区域检测

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548080

Youjin Shin, C. Jung, W. Chung

引用次数: 33

Vehicle on board platform: Communications test and prototyping 车载平台:通信测试和原型设计

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548037

U. Hernández-Jayo, A. Perallos, Nekane Sainz, I. Angulo

引用次数: 13

Dynamic transmission range in inter-vehicle communication with stop-and-go traffic 在走走停停的情况下，车辆间通信的动态传输范围

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5547994

Rex Chen, Hao Yang, W. Jin, A. Regan

引用次数: 7

Overview of a dynamic evaluation of collective taxi systems providing an optimal performance 提供最佳性能的集体出租车系统的动态评估概述

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548116

Eugénie Lioris, G. Cohen, A. D. L. Fortelle

引用次数: 12

A holistic decision-making framework for integrated safety 综合安全的整体决策框架

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5547975

Mohsen Nosratinia, H. Lind, Stina Carlsson, Niklas Mellegård

引用次数: 2

Methods of target recognition for UWB radar 超宽带雷达目标识别方法

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5547962

L. Sakkila, A. Rivenq, C. Tatkeu, Y. Elhillali, J. Ghys, J. Rouvaen

引用次数: 12