2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)最新文献_第3页

Vehicle-In-the-Loop Test Environment for Autonomous Driving with Microscopic Traffic Simulation 基于微观交通仿真的自动驾驶车辆在环测试环境

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519486

T. Tettamanti, Mátyás Szalai, Sándor Vass, V. Tihanyi

引用次数: 31

Temporal local route modeling using the recognized lane for autonomous driving comfort 基于识别车道的自动驾驶舒适性时域局部路径建模

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519490

Minchul Lee, Wonteak Lim, Seokwon Kim, M. Sunwoo

{"title":"Temporal local route modeling using the recognized lane for autonomous driving comfort","authors":"Minchul Lee, Wonteak Lim, Seokwon Kim, M. Sunwoo","doi":"10.1109/ICVES.2018.8519490","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519490","url":null,"abstract":"Recently, the intelligent Driver Assistant System (DAS) and an autonomous driving system have been widely studied. For those systems, a local route that represents the road shape is essential information for controlling a vehicle's behavior. When the local route is recognized by the perception sensors attached to the vehicle, the discontinuous information caused by the noise and detection failure worsens the driving comfort and stability. Since filtering methods in previous studies have caused time delays, the reaction of the vehicle control may be late when the curvature of the road changes. In this paper, the local route is temporary modeled into a mathematical form with several nodes to smooth the discontinuous information without delay problems. The node location of the temporal roadway geometry model is probabilistically updated by a Bayesian filtering scheme using the recognized local route. The proposed method was evaluated with a Mobileye camera and a real road. This method not only provided road shape information without a time delay but also interpolated the road shape information during the misdetection of sensor information and updating period.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"151 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":"131616113","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

Cut-in Scenario Prediction for Automated Vehicles 自动驾驶汽车切入场景预测

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519594

F. Remmen, Irene Cara, E. D. Gelder, D. Willemsen

{"title":"Cut-in Scenario Prediction for Automated Vehicles","authors":"F. Remmen, Irene Cara, E. D. Gelder, D. Willemsen","doi":"10.1109/ICVES.2018.8519594","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519594","url":null,"abstract":"Truck platooning is gaining more and more interest thanks to the benefits on improved traffic efficiency, reduced fuel consumption and emissions. To gain these benefits, it typically involves small following distances (0.8 s – 0.3 s). Due to the small following distances, the cut-in manoeuvre of target vehicles becomes safety critical and requires the platooning system to take action as soon as possible. This work shows how machine learning can be used for the prediction of a cut-in manoeuvre of a vehicle, which we refer to as target vehicle, from a host vehicle perspective. A real-life driving experiment was performed to measure several cut-ins that were manually annotated. Measurements are gathered with a lidar installed on the host vehicle and consequently used to train several well-known machine learning algorithms such as Logistic Regression, Random Forest, Support Vector Machine, Adaboost and an Ensemble of the previous models. The Ensemble model achieves the best results. This method is capable of predicting cut-ins prior to their occurrence, with an $f_{1}$ score of 62:28% on the test set. Moreover, over 60% of the cut-ins are correctly predicted more than one second before the corresponding vehicle crosses the lane marker.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"40 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":"133267153","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: 12

Hybrid V2X Communication Approach using WiFi and 4G Connections 使用WiFi和4G连接的混合V2X通信方法

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519489

Bahae Abidi, Francisco Miguel Moreno, M. Haziti, A. Hussein, Abdulla Al-Kaff, David Martín Gómez

{"title":"Hybrid V2X Communication Approach using WiFi and 4G Connections","authors":"Bahae Abidi, Francisco Miguel Moreno, M. Haziti, A. Hussein, Abdulla Al-Kaff, David Martín Gómez","doi":"10.1109/ICVES.2018.8519489","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519489","url":null,"abstract":"Technology advances in the field of intelligent transportation systems are rapidly increasing due to their crucial importance in saving millions of lives on the roads. One of the main elements to ensure that all road entities are connected is the design of stable and secure communication schemes, which is able to operate under different conditions and constraints. Accordingly, in this paper, a hybrid communication approach is proposed for Vehicle-to-Everything (V2X) communication schemes based on the use of WiFi and 4G connections. The objective is to ensure that the intelligent vehicles are able to maintain the vehicular communication using both connection methods in real-time, based on preadjusted configurations. The configurations include the networks availability, signal strength, and network security, among others. In order to validate the proposed work, several experiments were carriedout using automated vehicle in off-road environment scenario. The obtained results shows the performance of the proposed work to switch from a network to another aiming for the optimization of the shared data speed and steadiness.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"65 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":"115356007","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

Towards a Generic IoT Platform for Data-driven Vehicle Services 面向数据驱动车辆服务的通用物联网平台

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519505

Efi Papatheocharous, E. Frécon, C. Kaiser, A. Festl, A. Stocker

引用次数: 3

Smooth Obstacle Avoidance Path Planning for Autonomous Vehicles 自动驾驶汽车平滑避障路径规划

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519525

Wael Ben Messaoud, M. Basset, Jean-Philippe Lauffenburger, R. Orjuela

引用次数: 18

Virtual Test Method for Complex and Variant-Rich Automotive Systems 复杂多变汽车系统的虚拟试验方法

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519599

Andreas Lauber, Houssem Guissouma, E. Sax

{"title":"Virtual Test Method for Complex and Variant-Rich Automotive Systems","authors":"Andreas Lauber, Houssem Guissouma, E. Sax","doi":"10.1109/ICVES.2018.8519599","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519599","url":null,"abstract":"The fast development of embedded automotive systems in form of connected Electronic Control Units (ECUs) has led to complex development processes. Especially for safetycritical functions, the testing activities are essential to check if the designed system complies with the requirements. Nowadays, the continuous development of mobile electronic devices through software updates is performed almost on a daily basis. This trend is now starting to be observed in cyber-physical systems with higher safety priorities. In the automotive field, the rising software portion in the vehicles and the shortening technology life-cycles are accentuating the need for Software Over The Air (SOTA) updates. Despite the opportunities offered by SOTA updates, the current test processes and methods must be adapted to manage the resulting complexity throughout the life-cycle of the vehicles. Especially the typical variants abundance in automotive product lines is considered as an important challenge, which cannot be solved only by ”classical” testing methods such as Hardware-In-the-Loop. In this paper, we present a testing method for variantrich systems, which can be applied for automotive software updates. It uses virtual platforms for automated delta testing to handle the abundance of system configurations. Virtual testing is introduced as a powerful tool to reduce the amount of real tests and allow efficient variants verification. As a proof of concept, an Adaptive Cruise Control (ACC) composed of two ECUs has been implemented both in real hardware and using a virtual platform. With this approach, virtual delta tests, i. e. specific test-benches targeting the differences to a basic variant, can be rapidly executed for various system configurations. To prove the feasibility of the presented test method in more complex systems, a scalability study has been conducted.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"76 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":"129981672","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: 5

A new signal processing method for vital sensing using a Doppler sensor aiming at reliable sensingunder body movement 提出了一种基于多普勒传感器的生命传感信号处理新方法，旨在实现人体运动下的可靠传感

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519507

Shota Imai, Y. Kamiya

{"title":"A new signal processing method for vital sensing using a Doppler sensor aiming at reliable sensingunder body movement","authors":"Shota Imai, Y. Kamiya","doi":"10.1109/ICVES.2018.8519507","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519507","url":null,"abstract":"Vital sensing using a Doppler sensor is attractive since it does not need to put electrodes or sensors on a human body. It must be suitable for the monitoring of car drivers due to its easy use. By using this sensor, we can think about an alarm system for sudden illness of car drivers preventing them from causing accidents. However, the problem is body movements of car drivers and the vibration of the car. The Doppler sensor observes the variation of the distance between the sensor and the human body because the distance variation is yielded by the respiration and the heartbeats. Thus, the body movements of the driver are destructive for the measurement as well as the car vibration. Obviously, they cause false alarms, so the measurement must be robust against the body movement.In this paper, we propose a new signal processing method suitable for vitalsensing using a Doppler sensor. It is robust against disturbances caused by the body movement or the car vibrations. However, if these disturbances are serious, the proposed method automatically recognize the situation in order to avoid the false alarm for the car drivers’ monitoring. In addition, the proposed method is applicable to multiple persons. The performance of the proposed method is investigated through computer simulations.","PeriodicalId":203807,"journal":{"name":"2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","volume":"20 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":"128879381","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: 0

Deep Learning based Vulnerable Road User Detection and Collision Avoidance 基于深度学习的弱势道路使用者检测与避碰

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519504

S. K. Maurya, Ayesha Choudhary

引用次数: 10

Back-Pressure Based Adaptive Traffic Signal Control and Vehicle Routing with Real-Time Control Information Update 基于背压的自适应交通信号控制与实时控制信息更新的车辆路径

2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES) Pub Date : 2018-09-01 DOI: 10.1109/ICVES.2018.8519601

Y. Liu, Juntao Gao, Minoru Ito

引用次数: 5