著者

Hossein Tehrani Niknejad Mita Seiichi Han Long Huy Quoc

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.3, no.1, pp.19-25, 2012 (Released:2016-03-25)

参考文献数

14

被引用文献数

1 4

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Inexpensive implementation of localization and environment mapping are critical issues for urban autonomous driving. We present a practical and low-cost navigation architecture to fuse different data from vehicle onboard sensors and estimate the vehicle state when individual observations such as GPS are noisy. We are trying to compensate the GPS errors by data fusion from different sensors in a probabilistic way and a particle filter with joint observations model has been proposed. We have evaluated the feasibility of proposed localization and navigation architecture for fully autonomous driving by doing many experiments in our campus including up and down slopes.

著者

Ryo Nakahara Yuto Suzuki Nana Takeuchi Toshiaki Sakurai Tetsuo Maki Iwao Imaizumi Hisaki Sugaya Yukou Takahashi Yasuaki Gunji

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.10, no.4, pp.316-323, 2019 (Released:2019-11-14)

参考文献数

11

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In this study, finite element models for two types of bicycles with different shapes were constructed. These deformable models were validated in quasi-static loading conditions, and were used to investigate the effect of the deformation of the bicycle body on the head injuries to its occupant. The analysis confirmed that, when deformable models are used, the kinematics of the cyclist after the contact with a vehicle changes, and the injury values are different, from those obtained by rigid models. In addition, different bicycle types produce different riding postures, which significantly change the rotational motion of the cyclist around the vertical axis, subsequently affecting head injuries.

著者

Ryuta Kawashima Rui Nouchi Taisuke Matsumoto Yasunori Tanimoto

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.5, no.2, pp.73-76, 2014 (Released:2016-03-25)

参考文献数

21

被引用文献数

1 1

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We investigated whether riding a motorcycle in daily life has beneficial effects on the cognitive functions of healthy subjects. Twenty-two healthy right-handed men, who had a significant break from riding, participated in this study. They were randomly assigned to either the intervention or control group. The intervention group was asked to ride a motorcycle in their daily life for two months. The intervention group showed improvement of their visuospatial cognition compared with the control group. Results of this study indicate that riding a motorcycle in daily life could have beneficial effects in returning riders.

著者

Yuki Kitsukawa Tatsuya Minami Yudai Yamazaki Junich Meguro Eijiro Takeuchi Yoshiki Ninomiya Shinpei Kato Masato Edahiro

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.13, no.4, pp.206-213, 2022 (Released:2022-11-22)

参考文献数

18

被引用文献数

2

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ABSTRACT: Ego-vehicle localization is a critical technology in autonomous driving systems, and one of the widely used methods for localization is scan matching between a 3D map and real-time LiDAR scan. This method is known to fail due to factors such as an incorrect initial position and orientation for scan matching. In this paper, we propose a simulator-based localization evaluation framework to verify the robustness of localization. By using a simulator, localization can be evaluated without driving a real vehicle, and can be evaluated by creating disturbances such as traffic jams. Our framework also allows to evaluate the robustness of localization by using multiple particles with random errors of the initial position and orientation for scan matching to simulate dead reckoning errors caused by multiple factors such as road surface conditions and tire diameter. In the evaluation experiments, we confirmed that the robustness of localization can be evaluated by applying this method to factors such as sensor setup, disturbances in the traffic environment, and the amount of 3D features in the environment.

著者

Mohamed AbdElSalam Keroles Khalil John Stickley Ashraf Salem Bruno Loye

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.10, no.2, pp.197-204, 2019 (Released:2019-06-27)

参考文献数

27

被引用文献数

5

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Automotive Original Equipment Manufacturers (OEMs) are taking more control of Electronic Control Unit (ECU) hardware/software architecture definition and exploration mainly due to the rise of new technologies in ADAS and autonomous vehicles. The increasing number of cars with ECUs containing tens of processors, and the need to accelerate the simulation of thousands of driving scenarios and design parameters to ensure safety and reliability in autonomous driving has expanded the use of Hardware Emulation-In-The-Loop based on its capacity and functional verification merits. In this paper, an integrated heterogeneous system of systems framework to simulate and verify multiple ECUs is presented. The framework allows co-development of the automotive system application software, operating system and controller hardware together with the mechanical system actuators, sensors, and the physical world environment/traffic scenarios all in one. A comprehensive manual/automatic braking system use case consisting of four ECUs at different levels of abstraction is used to demonstrate the tools and interface technologies developed in-house and integrated with third-party tools.

著者

Siméon Capy Gentiane Venture Pongsathorn Raksincharoensak

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.14, no.1, pp.10-19, 2023 (Released:2023-01-31)

参考文献数

66

被引用文献数

1

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ABSTRACT: This article provides a systematic review of research articles on pedestrians and cyclists’ intention recognition to be integrated into autonomous vehicles, especially for decision making and motion planning. We firstly describe why the intention recognition of pedestrians and cyclists is suitable and necessary for autonomous vehicles and why they cannot only rely on traffic regulation laws. Then, we summarise, amongst others, the methodology and sensors used by eighteen peerreviewed research articles published in relevant conferences and journals. We performed a systematic review of articles of the last 10 years from the following databases: IEEE Xplore, Science Direct, ACM digital library, Springer Link, MDPI and Web of Science. We observe from the collected articles that most of them are relying on several sensors, with a predominance including video. They mostly try to obtain the probability of crossing or the trajectory of the pedestrian/cyclist, mostly using a Recurrent Neural Network. In addition to their algorithmic contribution, 4 studies also provide a dataset. We conclude this article by talking about the remaining open challenges.

著者

Ryuta Kawashima Taisuke Matsumoto Yasunori Tanimoto

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.5, no.2, pp.77-83, 2014 (Released:2016-03-25)

参考文献数

18

被引用文献数

1

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The purpose of this study was to clarify the cortical activity of the dorsolateral prefrontal cortex (DLPFC) while motorcycles were being ridden. Sixteen healthy right-handed men who use motorcycles in their daily lives were recruited. Their brain activity was measured using a prototype of wearable optical topography while they were actually riding a motorcycle. We found that their brain activation patterns, which reflect the cognitive strategies behind their riding behaviors, differed depending on whether they were users of road bikes or scooters. Also, DLPFC activity, which reflects an increase in cognitive and motor demands, was greater in riders of on-road type motorcycles than scooters.