{"title":"A command governor approach for platooning applications","authors":"R. Castro, J. Brembeck","doi":"10.1109/IVS.2017.7995842","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995842","url":null,"abstract":"The present work is concerned with the design of a longitudinal control strategy for platooning applications. Our aim consists in developing a longitudinal controller that can simultaneously offer string stable operation and guarantee satisfaction of physical and safety constraints. To tackle this challenge, a command governor control scheme, based on a two-loop cascade structure, is developed. The inner loop relies on a linear control method and it is able to provide string stable operation for small signals, i.e. when control constraints are inactive. The outer loop revolves around a command governor approach. It monitors the operation of the inner-loop and, when violation of constraints is imminent, changes the inner-loop's setpoint in order to honor the control constraints. Simulation results demonstrate the effectiveness of the proposed approach.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127318954","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}
Garazi Juez Uriagereka, Ray Lattarulo, Joshué Pérez, Estibaliz Amparan Calonge, Alejandra Ruiz López, H. E. Ortiz
{"title":"Fault injection method for safety and controllability evaluation of automated driving","authors":"Garazi Juez Uriagereka, Ray Lattarulo, Joshué Pérez, Estibaliz Amparan Calonge, Alejandra Ruiz López, H. E. Ortiz","doi":"10.1109/IVS.2017.7995977","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995977","url":null,"abstract":"Advanced Driver Assistance Systems (ADAS) and automated vehicle applications based on embedded sensors have become a reality today. As road vehicles increase its autonomy and the driver shares his role in the control loop, novel challenges on their dependability assessment arise. One key issue is that the notion of controllability becomes more complex when validating the robustness of the automated vehicle in the presence of faults. This paper presents a simulation-based fault injection approach aimed at finding acceptable controllability properties for the model-based design of control systems. We focus on determining the best fault models inserting exceptional conditions to accelerate the identification of specific areas for testing. In our work we performed fault injection method to find the most appropriate safety concepts, controllability properties and fault handling strategies at early design phases of lateral control functions based on the error in the Differential GPS signal.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128650807","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}
Vadim Melnicuk, S. Birrell, E. Crundall, P. Jennings
{"title":"Employing consumer electronic devices in physiological and emotional evaluation of common driving activities","authors":"Vadim Melnicuk, S. Birrell, E. Crundall, P. Jennings","doi":"10.1109/IVS.2017.7995926","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995926","url":null,"abstract":"It is important to equip future vehicles with an onboard system capable of tracking and analyzing driver state in real-time in order to mitigate the risk of human error occurrence in manual or semi-autonomous driving. This study aims to provide some supporting evidence for adoption of consumer grade electronic devices in driver state monitoring. The study adopted repeated measure design and was performed in high-fidelity driving simulator. Total of 39 participants of mixed age and gender have taken part in the user trials. The mobile application was developed to demonstrate how a mobile device can act as a host for a driver state monitoring system, support connectivity, synchronization, and storage of driver state related measures from multiple devices. The results of this study showed that multiple physiological measures, sourced from consumer grade electronic devices, can be used to successfully distinguish task complexities across common driving activities. For instance, galvanic skin response and some heart rate derivatives were found to be correlated to overall subjective workload ratings. Furthermore, emotions were captured and showed to be affected by extreme driving situations.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114524135","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}
Shumo Cui, Benjamin Seibold, Raphael E. Stern, D. Work
{"title":"Stabilizing traffic flow via a single autonomous vehicle: Possibilities and limitations","authors":"Shumo Cui, Benjamin Seibold, Raphael E. Stern, D. Work","doi":"10.1109/IVS.2017.7995897","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995897","url":null,"abstract":"In certain flow regimes, the ideal uniform vehicle flow on the road is unstable, and stop-and-go traffic develops. The instability that leads to this less fuel-efficient unsteady flow results from the collective behavior of all human drivers. This work studies under which circumstances the presence of a single autonomous vehicle (AV) can locally stabilize the flow, without changing the way the humans drive. If possible, this can enable traffic flow control via very few AVs serving as mobile actuators. First, the analysis of car-following models reveals that in idealized conditions (no system noise), the flow can in fact be made linearly stable by means of a low fraction of control vehicles. Second, we highlight the fundamental limitations of this sparse control when considering models with noise.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117065469","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}
Udara E. Manawadu, Mitsuhiro Kamezaki, M. Ishikawa, Takahiro Kawano, S. Sugano
{"title":"A multimodal human-machine interface enabling situation-adaptive control inputs for highly automated vehicles","authors":"Udara E. Manawadu, Mitsuhiro Kamezaki, M. Ishikawa, Takahiro Kawano, S. Sugano","doi":"10.1109/IVS.2017.7995875","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995875","url":null,"abstract":"Intelligent vehicles operating in different levels of automation require the driver to fully or partially conduct the dynamic driving task (DDT) and to conduct fallback performance of the DDT, during a trip. Such vehicles create the need for novel human-machine interfaces (HMIs) designed to conduct high-level vehicle control tasks. Multimodal interfaces (MMIs) have advantages such as improved recognition, faster interaction, and situation-adaptability, over unimodal interfaces. In this study, we developed and evaluated a MMI system with three input modalities; touchscreen, hand-gesture, and haptic to input tactical-level control commands (e.g. lane-changing, overtaking, and parking). We conducted driving experiments in a driving simulator to evaluate the effectiveness of the MMI system. The results show that multimodal HMI significantly reduced the driver workload, improved the efficiency of interaction, and minimized input errors compared with unimodal interfaces. Moreover, we discovered relationships between input types and modalities: location-based inputs-touchscreen interface, time-critical inputs-haptic interface. The results proved the functional advantages and effectiveness of multimodal interface system over its unimodal components for conducting tactical-level driving tasks.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115803161","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}
Johanna Josten, Teresa Schmidt, R. Philipsen, L. Eckstein, M. Ziefle
{"title":"Privacy and initial information in automated driving — Evaluation of information demands and data sharing concerns","authors":"Johanna Josten, Teresa Schmidt, R. Philipsen, L. Eckstein, M. Ziefle","doi":"10.1109/IVS.2017.7995774","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995774","url":null,"abstract":"This paper presents the results of an online questionnaire (N=130) focusing on the impact of initial information for novel systems in two different automation levels. Willingness to share data and privacy concerns were compared between partial and conditional automation. With initial information on system limits manipulated between participants, differences in a priori attitudes and information relevance were analyzed. General attitude towards automation was positive. Willingness to share data when using automation was independent of ADAS experience and automation level. All driver-related data were not considered as sharable. Information relevance was highest for information on the anticipation of take-over situations, with information on certainty of successful situation management being significantly more important if system limits were unspecific. Results provide input for studies analyzing the influence of initial information and online information on take-over performance as well as on willingness to share data when receiving higher levels of automation in return.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"468 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125315172","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}
M. Park, J. Yoon, Jonghee Park, Jeong-Kyun Lee, Kuk-jin Yoon
{"title":"Learning to detect dynamic feature points","authors":"M. Park, J. Yoon, Jonghee Park, Jeong-Kyun Lee, Kuk-jin Yoon","doi":"10.1109/IVS.2017.7995859","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995859","url":null,"abstract":"The detection of dynamic points on a moving platform is an important task to avoid a potential collision. However, it is difficult to detect dynamic points using only two frames, especially when various input data such as ego-motion, disparity map, and optical flow are noisy for computing the motion of points. In this paper, we propose a supervised learning-based approach to detect dynamic points in consideration of noisy input data. First of all, to consider depth ambiguity that proportionally increases according to the distance to the ego-vehicle, we divide the XZ-plane (bird-eye view) into several subregions. Then, we train a random forest for each subregion by constructing motion vectors computed based on two motion metrics. Here, in order to reduce errors of the input data, the motion vectors are filtered based on a pairwise planarity check and then filtered motion vectors are used for training. In the experiments, the proposed method is verified by comparing the detection performance with that of previous approaches on the KITTI dataset.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134499353","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}
{"title":"Path following control for autonomous formula racecar: Autonomous formula student competition","authors":"J. Ni, Jibin Hu","doi":"10.1109/IVS.2017.7995972","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995972","url":null,"abstract":"This paper summarizes our work of an envelope path following controller for a four-wheel independently actuated (FWIA) autonomous racecar. The controller consists of three modules through the integrated control of active front-wheel steer (AFS) and direct yaw-moment control (DYC). An electric autonomous Formula Student racecar is used as testbed to test the controller Moreover, the Formula Student competition is introduced. With the cooperation with SAE China, the authors are trying to establish the autonomous Formula Student racecar competition in China. In this paper, the basic concept and rules of autonomous Formula Student racecar competition is described.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116942056","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}
{"title":"Dynamic driving task fallback for an automated driving system whose ability to monitor the driving environment has been compromised","authors":"Yrvann Emzivat, J. Guzman, P. Martinet, O. Roux","doi":"10.1109/IVS.2017.7995973","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995973","url":null,"abstract":"An Automated Driving System (ADS) is subject to hazardous weather conditions and to failures, both of which can result in a partial or total loss of its ability to monitor the driving environment. Yet until high driving automation and full driving automation is achieved, a human driver is expected to respond appropriately to any malfunction or adverse on-road conditions preventing the ADS from reliably sustaining the dynamic driving task performance. However, automation causes drowsiness and hypo-vigilance, which can compromise a human driver's ability to respond to ADS-issued requests. Hence the necessity of defining dynamic driving task fallback strategies that can be performed by the ADS, if and when necessary. The proposed fallback strategy is aimed at level 4 ADS features designed to operate a vehicle on a road whose characteristics make any attempt at stopping hazardous. It naturally applies to level 5 ADS-operated vehicles and to ADS-dedicated vehicles as well. The transition stage, during which the strategy is triggered, consists in the replacement of missing vehicles and obstacles in the world model with ghost objects. An embedded visibility map is then used to retrieve the maximum distance at which the ADS-operated vehicle can be seen, when driving behind it. The speed profile underlying the fallback strategy meets a time to collision criterion of 4 s, which enables the avoidance and the mitigation of rear-end collisions. The behaviour of drivers in collision imminent situations cannot be observed in test track studies due to safety concerns. As a result, experiments were conducted in the driving simulation software SCANeR studio.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127227166","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}
{"title":"The effect of haptic guidance on driver steering performance during curve negotiation with limited visual feedback","authors":"Z. Wang, R. Zheng, T. Kaizuka, Kimihiko Nakano","doi":"10.1109/IVS.2017.7995784","DOIUrl":"https://doi.org/10.1109/IVS.2017.7995784","url":null,"abstract":"Visual feedback from the road ahead is required for steering a car. When visual feedback is limited or only partial road is visible, driver steering performance declines. To solve this problem, haptic feedback is expected to assist drivers by providing guidance torque on the steering wheel. This paper focuses on the effect of haptic guidance on driver steering performance during curve negotiation when visual feedback is limited. Twelve subjects participated in the experiment conducted in a high-fidelity driving simulator. Levels of haptic guidance were none, weak, and strong, and levels of visual feedback were whole, near, medium and far. The steering performance was assessed by drivers' turning maneuver when approaching and leaving curves, and time-to-lane crossing during curves. Results indicate that mean value of time-to-lane crossing decreased due to the implementation of strong haptic guidance when visual feedback was limited. The start point of turning maneuver was earlier resulting from the implementation of strong haptic guidance under the condition of visual feedback from near segment. In conclusion, the drivers tended to rely on haptic guidance to achieve better steering performance when visual feedback was limited.","PeriodicalId":143367,"journal":{"name":"2017 IEEE Intelligent Vehicles Symposium (IV)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130577259","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}