2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)最新文献_第4页

Motion Planning With Flexible Trajectory Chains 柔性轨迹链的运动规划

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519597

Bruno Simon, Peter Riegl, A. Gaull

引用次数: 4

A Novel V2X-based Pedestrian Collision Avoidance System and the Effects Analysis of Communication Delay and Packet Loss on Its application 一种新型的基于v2x的行人避碰系统及通信延迟和丢包对其应用的影响分析

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519600

Guang-ming Xiong, Tian Yang, Minghong Li, Yu Zhang, Weilong Song, Jian-wei Gong

{"title":"A Novel V2X-based Pedestrian Collision Avoidance System and the Effects Analysis of Communication Delay and Packet Loss on Its application","authors":"Guang-ming Xiong, Tian Yang, Minghong Li, Yu Zhang, Weilong Song, Jian-wei Gong","doi":"10.1109/ICVES.2018.8519600","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519600","url":null,"abstract":"In order to enhance traffic safety and reduce traffic accidents, the V2X technology has been widely used in the field of autonomous driving. However, in the real test scenarios, communication has the disadvantages of data dissemination delay and data packets loss, which will have a significant impact on autonomous driving in some dangerous scenarios. In this paper, we choose a high-risk traffic situation that the automated vehicle prevents the potential darting-out pedestrian when passing by a blind area. First, we present a pedestrian collision avoidance system based on V2X technology. Next, we propose a new method of pedestrian collision avoidance based on V2P information. We create the danger warning area and emergency area to decide to avoid pedestrians by crossing or taking a brake. Finally, We use PreScan/Matlab to establish a pedestrian collision avoidance system and simulate the communication delay and three types of packet loss. The experimental results show the effects of collision avoidance under ideal conditions and the impact of different delay and packet loss rates on pedestrian collision avoidance system.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131316016","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

Adaptable Emergency Braking Based on a Fuzzy Controller and a Predictive Model 基于模糊控制器和预测模型的自适应紧急制动

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519586

Leonardo Gonzalez Alarcon, M. V. Recalde, M. Marcano, E. Martí

{"title":"Adaptable Emergency Braking Based on a Fuzzy Controller and a Predictive Model","authors":"Leonardo Gonzalez Alarcon, M. V. Recalde, M. Marcano, E. Martí","doi":"10.1109/ICVES.2018.8519586","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519586","url":null,"abstract":"This work presents the implementation of an adaptable emergency braking system for low speed collision avoidance, based on a frontal laser scanner for static obstacle detection, using a D-GPS system for positioning. A fuzzy logic decision process performs a criticality assessment that triggers the emergency braking system and modulates its behavior. This criticality is evaluated through the use of a predictive model based on a kinematic estimation, which modulates the decision to brake. Additionally a critical study is conducted in order to provide a benchmark for comparison, and evaluate the limits of the predictive model. The braking decision is based on a parameterizable braking model tuned for the target vehicle, that takes into account factors such as reaction time, distance to obstacles, vehicle velocity and maximum deceleration. Once activated, braking force is adapted to reduce vehicle occupants discomfort while ensuring safety throughout the process. The system was implemented on a real vehicle and proper operation is validated through extensive testing carried out at Tecnalia facilities.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115543354","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: 2

Semantic perception of curbs beyond traversability for real-world navigation assistance systems 现实世界导航辅助系统中超越可穿越性的路缘语义感知

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519526

Kailun Yang, L. Bergasa, Eduardo Romera, Dongming Sun, Kaiwei Wang, R. Barea

{"title":"Semantic perception of curbs beyond traversability for real-world navigation assistance systems","authors":"Kailun Yang, L. Bergasa, Eduardo Romera, Dongming Sun, Kaiwei Wang, R. Barea","doi":"10.1109/ICVES.2018.8519526","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519526","url":null,"abstract":"Intelligent Vehicles (IV) and navigational assistance for the Visually Impaired (VI) are becoming highly coupled, both fulfilling safety-critical tasks towards the utopia of all traffic participants. In this paper, the main purpose is to leverage recently emerged methods for self-driving technology, and transfer them to augment perception and aid navigation in ambient assisted living. More precisely, we put forward to seize pixel-wise semantic segmentation to support curb negotiation and traversability awareness, along the pathway of visually impaired individuals. At the crux of our perception unification framework is an effort to attain efficient understanding by proposing a deep architecture built on residual factorized convolution and pyramidical representation. A comprehensive set of experiments demonstrates the accurate scene parsing results with promise of real-time inference speed. Crucially, real-world performance over state-of-art approaches qualifies the proposed framework for assistance when deployed to two wearable navigation systems, including a pair of commercial smart glasses and a prototype of customized device.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396666","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

Development of Robust Validation Method through Driverless Test for Vision-based Oncoming Vehicle Collision Avoidance System 基于视觉的迎面而来车辆避碰系统无人驾驶测试鲁棒验证方法研究

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519516

Youngjun Lee, Jaehyun Mo, Hangbyung Cha

{"title":"Development of Robust Validation Method through Driverless Test for Vision-based Oncoming Vehicle Collision Avoidance System","authors":"Youngjun Lee, Jaehyun Mo, Hangbyung Cha","doi":"10.1109/ICVES.2018.8519516","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519516","url":null,"abstract":"This paper presents a robust validation test method to prove and improve the oncoming vehicle collision avoidance systems. This system is developed to reduce traffic accidents while a driver’s vehicle crashes into an oncoming vehicle out of its lane. It consists of a front camera on the windshield to detect the vehicle on the other side and an electric power steering to control the host vehicle to prevent head-on collision. It requires high performance for planning and controlling accurate avoidance path at close distance at the right time. Thus, safe and accurate validation vehicle test method is essential to develop the high quality system and determine the performance. The proposed validation test method includes robust vehicle test scenarios with test specification, vehicle test equipment based on automated robots and detailed analysis method for system performance. The robust test scenarios with test specification are developed to prove robustness of the system and seek weakness points from diverse conditions on the road and test specifications. The vehicle robots based on GPS/INS are utilized to conduct validation tests safely, repeatedly and accurately as the designed the test scenarios. Overall, the suggested analysis method determines the reliability of robot tests by the error distribution of the dynamics and avoidance performance of the system through estimating the internal errors of the components which cause errors of the avoidance system. The vehicles tests using presented robust test scenarios and driverless tests based on vehicle robots are conducted repeatedly to prove the robustness of the system thoroughly. The results of vehicle tests show the proposed method is powerful to validate the system and present proper value of design parameters applied to optimal avoidance path to improve the performance under the robust environment.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"29 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130416002","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

On the Impact of Platooning Maneuvers on Traffic 队列机动对交通的影响

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519515

Jesús Mena-Oreja, J. Gozálvez

引用次数: 6

SLAM-Based Performance Quantification of Sensing Architectures for Autonomous Vehicles 基于slam的自动驾驶汽车感知架构性能量化

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519529

Anne Collin, A. Espinoza

{"title":"SLAM-Based Performance Quantification of Sensing Architectures for Autonomous Vehicles","authors":"Anne Collin, A. Espinoza","doi":"10.1109/ICVES.2018.8519529","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519529","url":null,"abstract":"The list of possible sensors supporting autonomous tasks in a vehicle is considerable. Sensors are one of the main drivers of costs for current prototypes of autonomous vehicles. As production volume increases, companies have to take into account this cost, and consider whether the increase in performance given by the addition of redundancy in sensing is worth the cost. This paper analyzes sensor fusion from a systems perspective, and proposes a method based on factor graphs to quantity the error given by a combination of sensors for the simultaneous localization and mapping task, as a function of the individual sensor capabilities. A total of 81 different combinations are analyzed, with 4 different types of sensors, and varying levels of performance and cost within each type of sensors. This analysis reveals several findings; in some cases, the addition of sensors can decrease the performance of the system by adding noise, and there is a cost over which performance stops increasing. Additionally, we quantity the intuitive idea that systems including sensors working in adverse conditions might still perform well if there are other complementary sensor to provide reliable information to the system.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123254374","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: 2

Obstacle Detection using a Time of Flight Range Camera 使用飞行时间范围相机的障碍物检测

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519501

Antonio Ros García, L. Miller, C. F. Andrés, Pedro Javier Navarro Lorente

引用次数: 4

Analysis of the Influence of Training Data on Road User Detection 训练数据对道路使用者检测的影响分析

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519510

Carlos Guindel, David Martín, J. M. Armingol, C. Stiller

引用次数: 0

A Survey: Engineering Challenges to Implement VANET Security 调查:实现VANET安全的工程挑战

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519503

Hiro Onishi

{"title":"A Survey: Engineering Challenges to Implement VANET Security","authors":"Hiro Onishi","doi":"10.1109/ICVES.2018.8519503","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519503","url":null,"abstract":"VANET (Vehicle Ad-hoc Network, i.e., V2V (Vehicle-to-Vehicle) communication) with short communication latency and not needing an infrastructure could play important roles in future road safety, to implement crash warning applications. VANET could be useful for awareness of vehicles in drivers' blind spots in situations that cannot be detected by cameras or radars. However, VANET has additional security difficulties to detect and exclude vehicles that are malicious nodes from the network, besides wireless communication's inherent security vulnerabilities, such as jamming, eavesdropping, and tampering, because nodes are communicating with each other directly and not through a base station or a server. On the other hand, DLT (Distributed Ledger Technologies) typified by blockchain is planned to take important roles even in the auto industry, for example, to record/control the information of a huge number of components or maintenance/inspection histories. However, these technologies still have technical limitations to cover time sensitive safety-related applications provided by VANET. Hence, this report first introduces VANET and its security risks, then addresses blockchain's opportunities in the automotive industry. Finally, this report concludes by discussing technical challenges on blockchain to be applied for VANET, for example, the consensus process to create a new block and 51% issue.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375067","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: 11