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We would like to explain the outline of a trial of navigation system using BLE beacon for sightseeing in traditional area of Nikko. We firstly explain the result of a research of characteristics of visitors to Nikko. From the questionnaire to visitors of Nikko, to support young people (20th) and foreigners by ICT is important. Especially to solve problems of transportation and to provide information...
Modern cars are significantly linked to the outside world because of rising number of connections in the vehicle, connections between the vehicle and the exterior environment , e.g. diagnostics and flash interfaces or the numerous amounts of bus systems for data exchange. All these connections are potential security breaches. Previous papers and this research work show that there are a lot of security...
The Cybernetic Transportation Systems (CTS) is an urban mobility concept based on two ideas: the car sharing and the automation of dedicated systems with door-todoor capabilities. In the last decade, many European projects have been developed in this context, where some of the most important are: Cybercars, Cybercars2, CyberMove, CyberC3 and CityMobil. Different companies have developed a first fleet...
In this paper we present a novel message forwarding algorithm, the reachability matrix algorithm, for V2V communication in a platooning scenario. The algorithm uses a communication quality estimate to determine appropriate forwarding candidates. We show that the algorithm achieve a higher reliability in the communication compared to only using broadcast but still keeping the message intensity at a...
VANET Simulation schemes require a combination of mobility and wireless network simulation packages, coupled with custom scripts, visualization tools and various scenarios. The results of simulation studies need to be supported by special tools or scripts to analyze or visualize them easily. Some additional difficulties arise at sharing the results, visually comparing simulation runs across different...
To overcome the difficulty on objective measurement of shift comfort of automatic mechanical transmission(AMT) , the feasibility and advantages of using second derivative of the transmission input shaft speed was confirmed to calculate the gear-shifting jerk. The calculation process of jerk was elaborated in more details and jerk nondimensionalization was performed for control necessity. Finally,...
Pedestrian-to-vehicle communication is an effective method to reducing pedestrian accidents, but its performance is greatly degraded when many pedestrians contend to transmit frequently on the same channel. In this paper, we propose to solve this problem from three aspects, (i) defining accident models for intersections and straight roads where pedestrian accidents frequently occur, (ii) estimating...
A novel approach for combined trajectory planning and control is presented in this contribution. The developed method integrates optimal control theory and trajectory planning and leads to an active safety system, which is applicable for automated driving and can avoid collisions in critical situations. The Combined Planning and Control (CPC) algorithm extends the Timed Elastic Band (TEB) approach...
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...
Cybernetic Transport Systems (CTS) are now available on some cities worldwide covering the so-called lastmile for people transportation. These electric vehicles are expecting to operate during several hours without interruptions. It implies that energy consumption plays a key role when it comes to extend its autonomy. This paper presents a new algorithm for reference speed generation of CTS with energy...
Vehicle self-localization is an important aspect of intelligent transportation systems. Global Positioning Systems (GPS) which provide vehicle localization information play an important role in these systems. However, GPS is challenged in urban environments where satellite visibility and multipath situations are unavoidable. In this contribution we propose a method by which vehicular speed and a map-based...
For autonomous driving, both the estimation of the accurate ego position of vehicle and creation of the environment map such as Simultaneous localization and mapping (SLAM) technology are essential. In the SLAM technology, the 3D building model becomes an important aid to many positioning methods such as LiDAR and GPS positioning methods. To build accurate 3D building models, the accurate building...
Various studies have been conducted regarding road obstacle detection and avoidance, but very few studies deal with the detection and avoidance of obstacles that suddenly and unexpectedly appear during vehicle operation. Therefore, we have been conducting studies on problem of detecting suddenly and unexpectedly appear obstacles. As an extension stage of those studies, this paper presents about automatic...
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...
This paper presents an approach for human passenger stress reduction while riding a personal mobility autonomous vehicle. The particular vehicle of interest is a robotic autonomous wheelchair which can provide mobility assistance in pedestrian paths. State of the art algorithms for autonomous vehicles mainly focus on collision free path planning and safe control for obstacle avoidance. This work studies...
FlexRay is a communication protocol that combines event- and time-triggered communication to increase the schedulability and flexibility of message scheduling in current car systems. Because safety and reliability are particularly crucial for automotive systems, the worst-case response times of signals transmitted by electronic control units must be under their deadlines. To increase the bandwidth...
Accurately predicting drivers intent in advance could help ADAS reduce false alarm rate and improve performance. In this paper, we propose a driver intent prediction approach base on Hidden Conditional Random Fields model. The work can substantially utilize multiple dynamic characteristics of the driving signals, such as the steering wheel angle, lateral position, and drivers gaze compared with other...
With the rapid development of the techniques for autonomous driving and ADAS in the last decade, more advanced methods to understand pedestrian behavior are required. Crosswalks at intersections are the one of most hazardous where many accidents between turning-vehicles and pedestrians occur. In this paper, we present a method for estimating the pedestrian’s intention to cross a signalized crosswalk...
In this research study, the potential of landmarks for accuracy improvement in terms of satellite-based localization is analyzed. Advanced driver assistance systems (ADAS) and vehicle-to-vehicle (V2V) communication applications benefit from precise determination of position. Especially applications for cooperative car safety work best when the position determination is as accurate as possible. The...
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