2015 IEEE Intelligent Vehicles Symposium (IV)最新文献_第9页

Time delay compensation for environmental sensors of high-level automated driving systems 高级自动驾驶系统环境传感器时延补偿

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225743

S. Park, Beomjun Kim, Kyuwon Kim, Youngseop Son, K. Yi

引用次数: 2

An experiment on ambient light patterns to support lane change decisions 支持变道决策的环境光模式实验

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225735

Andreas Löcken, Heiko Müller, Wilko Heuten, Susanne CJ Boll

{"title":"An experiment on ambient light patterns to support lane change decisions","authors":"Andreas Löcken, Heiko Müller, Wilko Heuten, Susanne CJ Boll","doi":"10.1109/IVS.2015.7225735","DOIUrl":"https://doi.org/10.1109/IVS.2015.7225735","url":null,"abstract":"In the recent years, several automotive manufacturers started to integrate ambient light displays into cars to increase drivers' comfort. Expanding their possible application areas, we propose a display that continuously informs the driver of the vehicle's as well as the environment's state. We studied this display in a lane change maneuver, in which a driver has to decide if he or she can change lane in front of a faster closing car or brake to keep a safe distance to a slower car in front. We present results of an experiment for light patterns that are based on results of a design workshop and definitions for lane change decision aid systems (LCDAS) of ISO 17387. Though we used ISO's definitions for the timings, our participants felt that status updates on the display came too late. In addition, the abrupt warnings, implemented in one of the tested patterns, led to worse performance of the participants. On the other hand, we observed that participants liked a continuous encoding of the time-to-collision (TTC) and observed a decrease in missed opportunities to overtake. Therefore, we argue that the defined limits for the warning levels are not well suited to support drivers during decision making in our scenario. Our contribution lies in a novel way of supporting drivers during lane change using an ambient in-vehicle light display. We showed that a continuous light pattern might help drivers in decision making, while more research has to be done to validate this.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128517788","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

Stochastic model predictive controller with chance constraints for comfortable and safe driving behavior of autonomous vehicles 基于机会约束的自动驾驶汽车舒适安全驾驶随机模型预测控制器

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225701

David Lenz, Tobias Kessler, A. Knoll

引用次数: 29

Improved path tracking approach for unmanned vehicles based on clothoid curve 基于仿线曲线的改进无人驾驶车辆路径跟踪方法

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225733

Yun-xiao Shan, Cheng Chen, Wei Yang, Bi-jun Li

引用次数: 2

Joint spatial- and Doppler-based ego-motion estimation for automotive radars 基于关节空间和多普勒的汽车雷达自运动估计

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225789

M. Barjenbruch, Dominik Kellner, J. Klappstein, J. Dickmann, K. Dietmayer

{"title":"Joint spatial- and Doppler-based ego-motion estimation for automotive radars","authors":"M. Barjenbruch, Dominik Kellner, J. Klappstein, J. Dickmann, K. Dietmayer","doi":"10.1109/IVS.2015.7225789","DOIUrl":"https://doi.org/10.1109/IVS.2015.7225789","url":null,"abstract":"An ego-motion estimation method based on the spatial and Doppler information obtained by an automotive radar is proposed. The estimation of the motion state vector is performed in a density-based framework. Compared to standard vehicle odometry the approach is capable to estimate the full two dimensional motion state with three degrees of freedom. The measurement of a Doppler radar sensor is represented as a mixture of Gaussians. This mixture is matched with the mixture of a previous measurement by applying the appropriate egomotion transformation. The parameters of the transformation are found by the optimization of a suitable join metric. Due to the Doppler information the method is very robust against disturbances by moving objects and clutter. It provides excellent results for highly nonlinear movements. Real world results of the proposed method are presented. The measurements are obtained by a 77GHz radar sensor mounted on a test vehicle. A comparison using a high-precision inertial measurement unit with differential GPS support is made. The results show a high accuracy in velocity and yaw-rate estimation.","PeriodicalId":294701,"journal":{"name":"2015 IEEE Intelligent Vehicles Symposium (IV)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129381838","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: 29

Optimal parameter selection of a Model Predictive Control algorithm for energy efficient driving of heavy duty vehicles 重型车辆节能驾驶模型预测控制算法的最优参数选择

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225773

Michael Henzler, M. Buchholz, K. Dietmayer

引用次数: 12

Advanced 3-D trailer pose estimation for articulated vehicles 先进的三维挂车姿态估计铰接式车辆

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225688

Christian Fuchs, F. Neuhaus, D. Paulus

引用次数: 7

Vehicle trajectory prediction for adaptive cruise control 自适应巡航控制的车辆轨迹预测

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225663

Sung Gu Yi, C. Kang, Seung-Hi Lee, C. Chung

引用次数: 10

Automatic detection of traffic lights using support vector machine 基于支持向量机的交通信号灯自动检测

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225659

Zhilu Chen, Quan Shi, Xinming Huang

引用次数: 24

Grid-based online road model estimation for advanced driver assistance systems 基于网格的高级驾驶辅助系统道路模型在线估计

2015 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2015-08-27 DOI: 10.1109/IVS.2015.7225665

Julian Thomas, Kai Stiens, Sebastian Rauch, R. Rojas

引用次数: 6