2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)最新文献_第2页

Evaluation of a low-overhead forwarding algorithm for platooning 一种低开销队列转发算法的评价

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396892

Marcus Larsson, Fredrik Warg, K. Karlsson, M. Jonsson

引用次数: 2

Reuse historic costs in dynamic programming to reduce computational complexity in the context of model predictive optimization 在模型预测优化的背景下，重用动态规划中的历史成本以降低计算复杂度

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396927

Tianyi Guan, C. Frey

引用次数: 6

A study on smooth automatic vehicle stopping control for suddenly-appeared obstacles 突然出现障碍物时车辆平稳自动停车控制研究

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396899

Ryo Gohara, H. Premachandra, Kiyotaka Kato

引用次数: 8

Research on optimal bandwidth allocation for the scheduled traffic in ieee 802.1 AVB ieee 802.1 AVB中调度流量的最优带宽分配研究

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396889

Jaewoong Ko, Juho Lee, Chulsung Park, Sungkown Park

引用次数: 12

Towards an automatic parking system using bio-inspired 1-D optical flow sensors 一种使用仿生一维光流传感器的自动停车系统

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396901

Stefano Mafrica, Alain Servel, F. Ruffier

{"title":"Towards an automatic parking system using bio-inspired 1-D optical flow sensors","authors":"Stefano Mafrica, Alain Servel, F. Ruffier","doi":"10.1109/ICVES.2015.7396901","DOIUrl":"https://doi.org/10.1109/ICVES.2015.7396901","url":null,"abstract":"Although several (semi-) automatic parking systems have been presented throughout the years [1]-[12], car manufacturers are still looking for low-cost sensors providing redundant information about the obstacles around the vehicle, as well as efficient methods of processing this information, in the hope of achieving a very high level of robustness. We therefore investigated how Local Motion Sensors (LMSs) [13], [14], comprising only of a few pixels giving 1-D optical flow (OF) measurements could be used to improve automatic parking maneuvers. For this purpose, we developed a low computational- cost method of detecting and tracking a parking spot in real time using 1-D OF measurements around the vehicle as well as the vehicle's longitudinal velocity and steering angle. The algorithm used was composed of 5 processing steps, which will be described here in detail. In this initial report, we will first present some results obtained in a highly simplified 2-D parking simulation performed using Matlab/Simulink software, before giving some preliminary experimental results obtained with the first step in the algorithm in the case of a vehicle equipped with two 6- pixel LMSs. The results of the closed-loop simulation show that up to a certain noise level, the simulated vehicle detected and tracked the parking-spot assessment in real time. The preliminary experimental results show that the average refresh frequency obtained with the LMSs was about 2-3 times higher than that obtained with standard ultrasonic sensors and cameras, and that these LMSs therefore constitute a promising alternative basis for designing new automatic parking systems.","PeriodicalId":325462,"journal":{"name":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125779062","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: 4

Study of the senior driver's driving conscious against the specification traffic situation and driving behaviors 老年驾驶员在规范交通状况下的驾驶意识及驾驶行为研究

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396884

Chisa Takahasi, Y. Nakano, Y. Iribe, H. Kawanaka, K. Oguri

{"title":"Study of the senior driver's driving conscious against the specification traffic situation and driving behaviors","authors":"Chisa Takahasi, Y. Nakano, Y. Iribe, H. Kawanaka, K. Oguri","doi":"10.1109/ICVES.2015.7396884","DOIUrl":"https://doi.org/10.1109/ICVES.2015.7396884","url":null,"abstract":"Japan is one of the leading country of the aging society. For traffic as well, the number of the traffic accidents caused by senior driver is increasing year by year. So we have to make countermeasure for it ahead of the other countries. Currently, Japanese government moved into actions for example to have the campaign for returning of the senior drivers' licenses, or oblige senior driver who doesn't want to return his/her license to take a driving lessons at the driving school each 3 years. But to resolve this problem, society have to take a radically -new way to support senior drivers they can drive much more safely. It would be help for the senior people to keep healthy life. We had to 2 activity. One was a questioner research to understand what type of the traffic situations have the possibility of the traffic accident caused by senior drivers. The result was, it likely to be better to prioritize supporting for the decreasing visual cognitive ability and judgment for the countermeasures. Secondly, we analyzed senior drivers driving test results using driving simulator to see whether there is any variability of the performance among in senior drivers, and also to see their driving ability tendency.","PeriodicalId":325462,"journal":{"name":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121357646","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: 1

Vehicle navigation in the intersection with data stored driving lane and UHF RF-ID system 路口车辆导航采用数据存储和超高频射频识别系统

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396903

T. Kawamura, T. Kashiwa, S. Imai, Yasutaka Kishimoto

引用次数: 0

Robust multi-directional bicycle recognition on the rotation using the stereo vision 鲁棒的多向自行车识别对旋转采用立体视觉

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396890

Kenta Fukushima, Kousuke Matsushima

{"title":"Robust multi-directional bicycle recognition on the rotation using the stereo vision","authors":"Kenta Fukushima, Kousuke Matsushima","doi":"10.1109/ICVES.2015.7396890","DOIUrl":"https://doi.org/10.1109/ICVES.2015.7396890","url":null,"abstract":"Many researches have worked for the development of automotive technologies, so as to realize a convenient and safety automotive society such as Advanced Safety Vehicle (ASV) and Traffic Monitoring System (TMS). As a result, traffic accidents have decreased as the years pass, and the number of the dead and injuries have been reduced. However, autonomous driving is not only required to detect bicycles around vehicles, but also expected to understand the behaviors of bicycles. In addition, since the proportion of bicycle accident shows a high percentage in the total traffic accident, it has been predicted an increase of the accident of the bicycle in the future. Therefore we propose a multi-directional bicycle recognition system using the distance information obtained by the stereo camera. In the proposed system, we divide the moving direction of the bicycle into three directions. In addition, we propose a robust feature extraction method on rotation in order to cope with the bicycle between each direction. Finally,we show the experimental results and verify the effectiveness of the proposed method.","PeriodicalId":325462,"journal":{"name":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132279167","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

Description and technical specifications of cybernetic transportation systems: an urban transportation concept 控制论交通系统的描述和技术规范:一个城市交通概念

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396914

Luis Roldão, Joshué Pérez, D. González, V. M. Montero

引用次数: 7

Automatic calibration and registration of lidar and stereo camera without calibration objects 自动校准和配准激光雷达和立体相机，无需校准对象

2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2015-11-01 DOI: 10.1109/ICVES.2015.7396923

V. John, Qian Long, Zheng Liu, S. Mita

{"title":"Automatic calibration and registration of lidar and stereo camera without calibration objects","authors":"V. John, Qian Long, Zheng Liu, S. Mita","doi":"10.1109/ICVES.2015.7396923","DOIUrl":"https://doi.org/10.1109/ICVES.2015.7396923","url":null,"abstract":"Perception of the environment is an important task for intelligent vehicles, and to effectively perceive the environment, multiple sensors are often employed. In this paper, we propose to integrate the perceived data from 3D LIDAR and stereo camera using particle swarm optimization algorithm, without the aid of any external calibration aids. The proposed optimisation algorithm automatically calibrates and registers the LIDAR range image and stereo depth image, as a precursor to the sensor fusion. Multiple parameters are optimised by adopting a model-based approach during the parameter estimation phase. The evaluation of the parameters is performed using a novel depth-based cost function. During the sensor fusion phase, the optimised parameters are used to generate the LIDAR range image, which functions as the disparity range image for the Viterbi-based stereo disparity estimation. The disparity range image constrains the Viterbi search during the stereo disparity estimation. To evaluate our proposed algorithm, the calibration and registration algorithm is compared with baseline algorithms on multiple datasets acquired with varying illuminations. Compared to the baseline algorithms, we show that our proposed algorithm demonstrates better accuracy. We also demonstrate that integrating the LIDAR range image within the stereo's disparity estimation results in an improved disparity map with significant reduction in the computational complexity.","PeriodicalId":325462,"journal":{"name":"2015 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128200257","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: 9