2010 IEEE Intelligent Vehicles Symposium最新文献_第9页

Motion compensation for obstacle detection based on homography and odometric data with virtual camera perspectives 虚拟摄像机视角下基于单应性和里程数据的障碍物检测运动补偿

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548000

Michael Miksch, Bin Yang, Klaus Zimmermann

引用次数: 5

Detection of independently moving objects through stereo vision and ego-motion extraction 通过立体视觉和自我运动提取来检测独立运动物体

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548108

A. Bak, S. Bouchafa, D. Aubert

引用次数: 29

Minimisation of alignment error between a camera and a laser range finder using Nelder-Mead simplex direct search 利用奈德-米德单纯形直接搜索最小化相机与激光测距仪之间的对准误差

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548126

T. Osgood, Yingping Huang, K. Young

{"title":"Minimisation of alignment error between a camera and a laser range finder using Nelder-Mead simplex direct search","authors":"T. Osgood, Yingping Huang, K. Young","doi":"10.1109/IVS.2010.5548126","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548126","url":null,"abstract":"Presented in this paper is a novel method to calibrate the co-ordinate systems used by two separate sensor devices for the purposes of sensor fusion. In this example the sensors are a camera and a LIDAR device which are observing the same scene from different viewpoints. Using a synthetic set of corresponding 2D image co-ordinates and 3D LIDAR measurements as reference data the task of aligning re-projected measurements with reference measurements was posed as an optimisation problem. The objective of the optimisation is to find a set of calibration parameters (external offsets and internal camera parameters) which minimise the sum of squared errors between the reference image co-ordinates and the re-projected data. The re-projected data is obtained by transforming the reference LIDAR measurements using the calibration parameters and the errors are defined as the straight-line distance between each reference and re-projected pixel pair. Using the Nelder-Mead simplex search method calibration parameters were found in under a second such that the sum of squared errors across a data set of 200 points was less than 0.19 i.e. average error per pixel of 0.031px. The method finds both internal and external calibration factors and makes no assumptions about the model. Furthermore if a second optimisation pass is made the error can be reduced to almost zero using only 4 reference pairs assuming these points are selected correctly.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"48 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":"116138479","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: 3

Improved visibility of road scene images under heterogeneous fog 提高了非均匀雾条件下道路场景图像的可视性

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548128

Jean-Philippe Tarel, N. Hautière, A. Cord, D. Gruyer, Houssam Halmaoui

{"title":"Improved visibility of road scene images under heterogeneous fog","authors":"Jean-Philippe Tarel, N. Hautière, A. Cord, D. Gruyer, Houssam Halmaoui","doi":"10.1109/IVS.2010.5548128","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548128","url":null,"abstract":"One source of accidents when driving a vehicle is the presence of homogeneous and heterogeneous fog. Fog fades the colors and reduces the contrast of the observed objects with respect to their distances. Various camera-based Advanced Driver Assistance Systems (ADAS) can be improved if efficient algorithms are designed for visibility enhancement of road images. The visibility enhancement algorithm proposed in [1] is not dedicated to road images and thus it leads to limited quality results on images of this kind. In this paper, we interpret the algorithm in [1] as the inference of the local atmospheric veil subject to two constraints. From this interpretation, we propose an extended algorithm which better handles road images by taking into account that a large part of the image can be assumed to be a planar road. The advantages of the proposed local algorithm are its speed, the possibility to handle both color images or gray-level images, and its small number of parameters. A comparative study and quantitative evaluation with other state-of-the-art algorithms is proposed on synthetic images with several types of generated fog. This evaluation demonstrates that the new algorithm produces similar quality results with homogeneous fog and that it is able to better deal with the presence of heterogeneous fog.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"26 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":"121724893","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: 219

The dynamic emotion recognition system based on functional connectivity of brain regions 基于脑区功能连通性的动态情绪识别系统

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548102

R. Khosrowabadi, Michel J. H. Heijnen, A. Wahab, Hiok Chai Quek

{"title":"The dynamic emotion recognition system based on functional connectivity of brain regions","authors":"R. Khosrowabadi, Michel J. H. Heijnen, A. Wahab, Hiok Chai Quek","doi":"10.1109/IVS.2010.5548102","DOIUrl":"https://doi.org/10.1109/IVS.2010.5548102","url":null,"abstract":"Emotion perception similar to thinking, learning and remembering is consequent of complicated brain processes which are related to specific biological metabolism. Different human's emotional states are recognizable by measuring and interpreting of human physiological signals. Bio-sensors possess a number of advantages against other emotion recognition methods as they are relatively more consistent across cultures and nations. Emotions have a serious effect on driving. Human beings in negative and sometimes positive emotional states can be distracted which will increase the risk of driving. This paper presents an EEG-based emotion recognition system. Mutual information and magnitude squared coherence are applied to investigate the interconnectivity between 8 scalp regions. A study was performed to collect 8 channels of EEG data from 26 healthy right-handed subjects in experiencing 4 emotional states while exposed to audio-visual emotional stimuli. After feature extraction, 5-fold cross-validation was then performed using the KNN and SVM classifier. The results showed existence of different kind of functional brain connectivity in different emotional states.","PeriodicalId":123266,"journal":{"name":"2010 IEEE Intelligent Vehicles Symposium","volume":"110 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":"127701203","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: 30

Assessment of adequate overtaking margin (AOM) for an overtaking assistance system 超车辅助系统足够超车余量(AOM)评估

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548146

A. Hohm, H. Winner

引用次数: 3

Maneuver recognition using probabilistic finite-state machines and fuzzy logic 基于概率有限状态机和模糊逻辑的机动识别

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548066

T. Hülnhagen, Ingo Dengler, A. Tamke, T. Dang, G. Breuel

引用次数: 84

Cruise control with adaptation and wheel torque constraints for improved fuel economy 巡航控制与适应和车轮扭矩约束，以提高燃油经济性

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5547986

Nazli E. Kahveci, Petros A. Ioannou

引用次数: 3

3D-segmentation of traffic environments with u/v-disparity supported by radar-given masterpoints 由雷达给出的主点支持的u/v视差交通环境的三维分割

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548111

Michael Teutsch, T. Heger, T. Schamm, Johann Marius Zöllner

引用次数: 7

Probabilistic modeling of sensor properties in generic fusion systems for modern driver assistance systems 现代驾驶辅助系统通用融合系统传感器特性的概率建模

2010 IEEE Intelligent Vehicles Symposium Pub Date : 2010-06-21 DOI: 10.1109/IVS.2010.5548040

M. Munz, Mirko Mählisch, J. Dickmann, K. Dietmayer

引用次数: 9