IEEE Symposium on Intelligent Vehicle
2018 IEEE Intelligent Vehicles Symposium (IV)
DOI: 10.1109/IV43497.2018
26-30 June 2018
Showing 1-25 of 346
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Intelligent Vehicles Symposium (IV), 2018 IEEE
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Automatic Analysis of Pedestrian’s Body Language in the Interaction with Autonomous Vehicles
Walter Morales-Álvarez;Mará José Gόmez-Silva;Gerardo Fernández-Lόpez;Fernando GarcÁ-Fernández;Cristina Olaverri-Monreal
Publication Year: 2018,Page(s):1 - 6
Cited by: Papers (5)
The work presented on this paper, aims to provide an automated tool to analyze the autonomous vehicle-pedestrian interaction. It detects pedestrians in the environment, by means of the most modern visual detection technology available in the literature, applied to an stereo camera system, and analyses if the driver looks at the vehicle. To achieve this task the algorithm does pose estimation, feat...Show More
Real-time Traffic Scene Segmentation Based on Multi-Feature Map and Deep Learning
Linhui Li;Weina Zheng;Lingchao Kong;Ümit Özgüner;Wenbin Hou;Jing Lian
Publication Year: 2018,Page(s):7 - 12
Cited by: Papers (4)
Visual-based semantic segmentation for traffic scene plays an important role in intelligent vehicles. In this paper, we present a new real-time deep fully convolution neural network (FCNN) for pixel-wise segmentation with six channel inputs. The six channel inputs include the RGB three channel color image, the Disparity (D) image generated by stereo vision sensor, the image to describe the Height ...Show More
A Biosignal Based Driving Experience Analysis for Curved Road: An Initial Implementation
Hongyu Hu;Zhenhai Gao;Yuhuan Sheng;Fei Gao;Rencheng Zheng;Xingtai Mei;Jin Zhang
Publication Year: 2018,Page(s):13 - 18
Cited by: Papers (1)
This study presents a biosignal based driving experience analysis of an actual-vehicle experiment. A total of 10 subjects were enrolled during the experimental study. Based on their driving mileages per year, subjects were divided into novice and skilled ones at first, and then electromyography (EMG) signals of upper trapezius and sternocleidomastoid muscles were acquired continuously to evaluate ...Show More
Analysis of Driver Behaviors while Using In-Vehicle Traffic Light with Partial Deployment of V2I Communication
Publication Year: 2018,Page(s):19 - 24
Cited by: Papers (4)
An in-vehicle traffic light system was proposed to assist drivers at intersections, by displaying traffic light inside vehicles based on vehicular communication. Driving simulator experiments have demonstrated that the system can be an effective method to provide assistance for drivers. However, previous studies assumed that all the vehicles were equipped with vehicular communication devices and t...Show More
An Application of Particle Swarm Algorithms to optimize Hidden Markov Models for Driver Fatigue Identification
Mingheng Zhang;Xiaojuan Zhai;Guang Zhao;Tonghong Chong;Zheng Wang
Publication Year: 2018,Page(s):25 - 30
Cited by: Papers (2)
A hidden Markov model (HMM) has been applied to describe the dynamic process of driver fatigue over time. However, during the HMM training, the initial value selection of the confusion matrix has a great influence on the accuracy ofthe HHM, which brings a lot of inconveniences to the practical application. Therefore, this study applied a particle swarm optimization (PSO) algorithm to simplify the ...Show More
Longitudinal Control Strategy of Collision Avoidance Warning System for Intelligent Vehicle Considering Drivers and Environmental Factors
Publication Year: 2018,Page(s):31 - 36
Cited by: Papers (7)
The collision avoidance warning system, as an intelligent assistance driving technology, provides the driver a safety and comfortable driving experience, by transferring early warning signals to avoid collision while detecting potential danger. In view of the shortcomings of traditional safety distance models, this paper focuses on the driver style and environmental factors to establish novel mode...Show More
The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles
Publication Year: 2018,Page(s):37 - 42
Cited by: Papers (13)
Offline training and testing are playing an essential role in design and evaluation of intelligent vehicle vision algorithms. Nevertheless, long-term inconvenience concerning traditional image datasets is that manually collecting and annotating datasets from real scenes lack testing tasks and diverse environmental conditions. For that virtual datasets can make up for these regrets. In this paper, ...Show More
Semi-virtual Test for ICVs in Automotive EMC Laboratary
Jianmei Lei;Qingwen Han;Yang Xu;Fengxi Li;Rui Chen;Lidong Chen
Publication Year: 2018,Page(s):43 - 48
Cited by: Papers (5)
Functional test is critical to the deployment of intelligent connected vehicle (ICV). Both industry and academia devote to create a testing framework, which could provide a reliable, quick, safe, low cost and reproducible method and accelerate the development of ICV. However, currently mainstream testing method, such as virtual test and on-road field test are sometimes difficult to satisfy the nee...Show More
Study on the Test Scenarios of Level 2 Automated Vehicles
Publication Year: 2018,Page(s):49 - 54
Cited by: Papers (7)
Testing in the closed field is one of the important means to verify the features and performance of automated vehicles. Due to the complicated and changeable traffic conditions, how to design the testing scenarios with relatively few number but significant value is a problem that deserves research. We analyze the features of the Level 2 automatic driving production models in the market. Based on t...Show More
EMC Test for Connected Vehicles and Communication Terminals
Qingwen Han;Jianmei Lei;Lingqiu Zeng;Yunyang Tang;Jie Liu;Lidong Chen
Publication Year: 2018,Page(s):55 - 60
Cited by: Papers (8)
With rapid development of intelligent connected vehicles and VANET (vehicular ad-hoc network), electromagnetic environment that vehicles are facing becomes more complex than ever. The popular multi-function on-board radio terminals include various wireless blocks, such as mobile phone, FM radio, Wi-Fi hotspot, GPS receiver and Bluetooth transceiver, etc. All these blocks are working in a circumsta...Show More
Media Access Process Modeling of LTE-V-Direct Communication Based on Markov Chain
Publication Year: 2018,Page(s):61 - 66
Cited by: Papers (4)
As one of the most promising communication technologies in vehicular networks, LTE V2X related technical specifications are released in Release 14 by 3GPP in 2017. In the newest specifications, the LTE V2X can work with or without eNBs, namely LTE-V-Cell and LTE-V-Direct. In this study, we focus on the media access process of LTE-V-Direct. First, we proposed a model to describe the MAC process of ...Show More
Application-based Performance Evaluation of Wireless Access in Vehicular Environment using Broadcast Protocol
Publication Year: 2018,Page(s):67 - 72
Cited by: Papers (2)
V2V (Vehicle to Vehicle) is recently seen as a very promising technology to avoid accidents and to relieve traffic congestion in transportation. DSRC (Dedicated Short Range Communication) is the most polular communication technology that could be used in V2V system. To figure out what extent DSRC could support typical V2V applications, this paper proposed a performance evaluation method. Firstly, ...Show More
Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis
Publication Year: 2018,Page(s):73 - 78
Cited by: Papers (5)
A new driver model adaptation (DMA) method is proposed in this paper to help the model adaptation between different individual drivers. This method is based on transfer learning which can improve the DMA process at data level. The Gaussian mixture model (GMM)-based method is used to model the steering behaviour of drivers during the overtaking manoeuvre. Based on the GMM model, an alignment-based ...Show More
Development and Evaluation of Two Learning-Based Personalized Driver Models for Pure Pursuit Path-Tracking Behaviors
Zirui Li;Boyang Wang;Jianwei Gong;Tianyun Gao;Chao Lu;Gang Wang
Publication Year: 2018,Page(s):79 - 84
Cited by: Papers (22)
Establishing a personalized driver model to predict the driving behavior plays a significant role in the promotion of driver assistance system and automated driving system. In this paper, we propose two different learning-based pathtracking personalized driver models to predict the lookahead distance based on pure pursuit algorithm using the naturalistic driving data collected from BIT intelligent...Show More
Influence Analysis of Autonomous Cars’ Cut-In Behavior on Human Drivers in a Driving Simulator
Chunqing Zhao;Shaopeng Li;Fenggang Liu;Wenshuo Wang;Jianwei Gong
Publication Year: 2018,Page(s):85 - 90
Cited by: Papers (5)
To safely, efficiently change lanes among human drivers, autonomous vehicles (AV) should act as close as possible to human to decide when to friendly cut in and seamlessly cooperate with surrounding vehicles. However, it is still not fully clear about how AV cut-in behavior would influence on human drivers. This paper comprehensively analyzes the influence of AV cut-behavior on human drivers in te...Show More
Research on Intelligent Merging Decision-making of Unmanned Vehicles Based on Reinforcement Learning
Xue-mei Chen;Qiang Zhang;Zhen-hua Zhang;Ge-meng Liu;Jian-wei Gong;Ching-Yao Chan
Publication Year: 2018,Page(s):91 - 96
Cited by: Papers (7)
The decision-making model of merging behavior is one of the key technologies of unmanned vehicles. In order to solve the problem of unmanned vehicles' merging decision making, this paper presents a merging strategy based on Least squares Policy Iteration (LSPI) algorithm, and selects the basis function which includes reciprocal of TTC, relative distance and relative speed to represent state space ...Show More
Blockchain Based Provenance for Agricultural Products: A Distributed Platform with Duplicated and Shared Bookkeeping
Publication Year: 2018,Page(s):97 - 101
Cited by: Papers (50)
The provenance (tracing) system of agricultural products is important for ensuring food safety. However, the stakeholders (growers, farmers, sellers etc.) are numerous and physically dispersed, making it difficult to manage data and information with a centralized approach. As a result, the production procedure remains non-transparent and trust is hard to build. In this paper, we propose an agricul...Show More
A Bibliometric Analysis of Blockchain Research
Publication Year: 2018,Page(s):102 - 107
Cited by: Papers (21)
Taking Ei Compendex (EI) and China National Knowledge Infrastructure (CNKI) databases as the literature sources, this paper presented a bibliographic analysis of the blockchain-related literature between January 2011 and September 2017. For each literature source, we built a separate dataset. Authors' productivity and collaboration, affiliation of authors and collaboration amongst institutions wer...Show More
An Overview of Smart Contract: Architecture, Applications, and Future Trends
Shuai Wang;Yong Yuan;Xiao Wang;Juanjuan Li;Rui Qin;Fei-Yue Wang
Publication Year: 2018,Page(s):108 - 113
Cited by: Papers (245)
With the rapid development of cryptocurrency and its underlying blockchain technologies, platforms such as Ethereum and Hyperledger began to support various types of smart contracts. Smart contracts are computer protocols intended to digitally facilitate, verify, or enforce the negotiation or performance of a contract. Smart contracts have broad range of applications, such as financial services, p...Show More
Transaction Queuing Game in Bitcoin BlockChain
Publication Year: 2018,Page(s):114 - 119
Cited by: Papers (33)
Bitcoin is a novel protocol with the potential of enabling a decentralized and trustless cryptographic currency, and its underlying technology named blockchain operates on a worldwide basis via a complex set of rules originally proposed by Nakomoto in 2008. In Bitcoin blockchain, miners provide computational services (i.e. mining) to get profits from the fixed rewards of newly found block and also...Show More
Traffic-Sign Spotting in the Wild via Deep Features
Publication Year: 2018,Page(s):120 - 125
Cited by: Papers (10)
This paper focuses on traffic sign spotting (TSS which automatically recognizes not only the conventional traffic signs but also information, facility and service signs, and traffic lights. TSS is divided into two sequential tasks: detecting traffic sign candidate regions in an image and recognizing the traffic signs in the regions. It is a very challenging task. We make the following contribution...Show More
An Efficient Hierarchical Convolutional Neural Network for Traffic Object Detection
Publication Year: 2018,Page(s):126 - 131
Cited by: Papers (1)
In this paper, we propose a novel hierarchical convolutional neural network for traffic object detection, which is defined as Fusion and Multi-level Alignment CNN (namely FMLA-CNN). The method extends a popular two-stage detector by incorporating a remodified feature fusion module and a multi-level alignment (MLA) strategy such that it is capable of efficiently detecting multi-scale objects in aut...Show More
Understanding 3D Semantic Structure around the Vehicle with Monocular Cameras
Kenichi Narioka;Hiroki Nishimura;Takayuki Itamochi;Teppei Inomata
Publication Year: 2018,Page(s):132 - 137
Cited by: Papers (10)
In this paper, we propose a method to recognize semantic and geometric structure of a traffic scene using monocular cameras. We designed Deep Neural Networks (DNNs) for semantic segmentation and depth estimation and trained them using data collected with a test vehicle, on top of which a 360degree panoramic camera system and a LIDAR are mounted. Collected images were manually annotated for semanti...Show More
Application of Stackelberg Game Theory for Shared Steering Torque Control in Lane Change Maneuver
Kaiming Yang;Rencheng Zheng;Xuewu Ji;Yosuke Nishimura;Kazuya Ando
Publication Year: 2018,Page(s):138 - 143
Cited by: Papers (11)
Human-machine interactions play a crucial role in determining driver-automation conflicts, as well as stabilities of the co-piloting system. Therefore, this paper proposed a Stackelberg-based shared control scheme to describe the driver-automation interactions, in which driver and electric power steering (EPS) system are modeled as game players. Both agents have their own target paths and give the...Show More
Driver-Automation Shared Control: Modeling Driver Behavior by Taking Account of Reliance on Haptic Guidance Steering
Publication Year: 2018,Page(s):144 - 149
Cited by: Papers (15)
This paper presents a driver model in shared control that focuses on driver interaction with haptic guidance steering for a lane-following task. A weight parameter in the driver model was developed to describe driver interaction and reliance on haptic guidance steering. A driving simulator experiment with 5 participants was conducted to identify the model parameters. One experimental condition was...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Intelligent Vehicles Symposium (IV), 2018 IEEE
- Print on DemandPurchase at Partner
- External Hard-drivePurchase at Partner
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