{"title":"Deriving Pattern in Driver's Observability in Road Turns & Traffic Lights: Eye-Tracking based Analysis","authors":"H. Venkataraman, M. Madhuri, R. Assfalg","doi":"10.1145/3267195.3267196","DOIUrl":"https://doi.org/10.1145/3267195.3267196","url":null,"abstract":"As one move towards driverless cars, there will always be a big worry of how autonomous cars would behave in the presence of vehicles driven by humans. In the co-existence model, it is essential for autonomous systems to 'understand' the behavior and gazing patterns of the drivers across different road turns and traffic lights. It is essential to understand that each road turn in a city is different due to angle of turn, building environment, etc. Hence, one needs to understand the gaze patterns of drivers across different turns and traffic lights. This paper is a long-drawn effort for measuring driver's observability and deriving driver's observance pattern in real-time. In this regard, an experimental model is provided and clustering-based technique is applied that would measure driver observability. More than 100 segmented readings were extracted from the video of five different vehicles and drivers under two different road conditions. It was observed that - while taking left or right turns and waiting in traffic light, the focus of drivers in front of their cars also changes considerably, with significant variation in the driver's gaze point, both horizontally and vertically. This is a important pattern/result in the design of adaptive driver assistance system and future driverless cars.","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125267252","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":"Towards Fog-based Next Generation Internet of Vehicles Architecture","authors":"S. A. Siddiqui, A. Mahmood","doi":"10.1145/3267195.3267200","DOIUrl":"https://doi.org/10.1145/3267195.3267200","url":null,"abstract":"Internet of Vehicles (IoV) is an integral component of the Intelligent Transportation System (ITS) with the vision to acquire and process data for improving traffic safety. In IoV, vehicles communicate by exchanging messages with other vehicles and roadside infrastructure subsequently generating a large volume of data often referred to as big data, and which demands a massive storage and high computational capability with minimal possible delay. The aim of this paper is to take a step forward in outlining the current state-of-the-art in IoV and analyzing the improved data processing and storage features by utilizing big data analytics and fog computing paradigm. We further presented a preliminary simulation result to demonstrate that the introduction of fog improves the overall system performance by ensuring low-latency critical for especially vehicular safety applications. Moreover, this paper briefly discusses a fog computing based IoV crime assistant and highlight some of its challenges which needs to be addressed in order to enhance the performance of such systems.","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131608868","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":"On Feasibility of VLC Based Car-to-Car Communication Under Solar Irradiance and Fog Conditions","authors":"Gurinder Singh, A. Srivastava, V. Bohara","doi":"10.1145/3267195.3267198","DOIUrl":"https://doi.org/10.1145/3267195.3267198","url":null,"abstract":"This paper investigates the impact of solar irradiance and fog condition on visible light communication (VLC) based car-to car (C2C) communication for two capital cities, New Delhi and London. The bit error rate (BER) variation over a day has been compared for both the cities for the month of March, June and December. It has been shown that for a given BER threshold performance, the impact of solar irradiance is more pronounced in month of June especially at New Delhi when solar irradiance reaches its peak. It has also been shown that in month of December, fog is one of the most significant climatic factors that greatly influences the VLC based C2C communication in terms of atmospheric attenuation. This paper also establishes the relationship for the minimum safety distance required between cars based on two-second rule, car speed and angle between cars. The minimum safety distance which would be required to avoid any rear-end collision especially during light or dense fog in the month of December has also been compared for New Delhi and London.","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128154009","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}
P. Singh, Sahil Sharma, S. Nandi, Roshan Singh, Sukumar Nandi
{"title":"Leader Election in Cooperative Adaptive Cruise Control Based Platooning","authors":"P. Singh, Sahil Sharma, S. Nandi, Roshan Singh, Sukumar Nandi","doi":"10.1145/3267195.3267197","DOIUrl":"https://doi.org/10.1145/3267195.3267197","url":null,"abstract":"With the advancement of Vehicular Ad-hoc Network and Cooperative Adaptive Cruise Control (CACC) system, vehicle platooning has become feasible. The performance of the CACC based platoon highly depends upon the maneuver performed by its leader vehicle because its actions have a direct implication on follower vehicles in the platoon. The leader vehicle plays a significant role in intra-platoon coordination, synchronization, collision avoidance and path planning. Thus, an election of the most appropriate, trusted and best entity to take the role of a leader in a CACC platooning becomes crucial. For efficient and safe functionality of this system, leader election has to be fair to every vehicle and should assign leader with the consensus of the whole platoon. To this end, very few contributions are available. In this paper, we suggest an incentive strategy and propose an architecture and leader election mechanism to elect the best leader of the platoon efficiently.","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115857577","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":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","authors":"","doi":"10.1145/3267195","DOIUrl":"https://doi.org/10.1145/3267195","url":null,"abstract":"","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132305182","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":"Technological Challenges in Autonomous Driving","authors":"A. K. Prakash, H. Venkataraman","doi":"10.1145/3267195.3267202","DOIUrl":"https://doi.org/10.1145/3267195.3267202","url":null,"abstract":"Automotive world is quickly moving towards another revolution of driverless cars. To realize this dream in large scale will see lots of challenges in terms of product development. In this talk, I would like to address different problems which automotive industry will have to face to make this a reality. Today automotive product development and testing has matured enough to provide a reliable product to end customer. Autonomous driving will introduce complex algorithms to take actuation decision based on various sensors inputs. Managing these complex algorithms seamlessly and testing to ensure robustness will introduce new development process steps and tools. Also, the demand from the electronics to process these algorithms in real time with less power consumption will arise. Another important aspect would be to meet automotive grade and safety level. A glance at these challenges and way to overcome them will be discussed.","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115624410","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":"Session details: Paper Presentations","authors":"R. Mysore","doi":"10.1145/3284667","DOIUrl":"https://doi.org/10.1145/3284667","url":null,"abstract":"","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116243848","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":"Lane Change For System-Driven Vehicles Using Dynamic Information","authors":"N. Jaswanth, H. Venkataraman","doi":"10.1145/3267195.3267199","DOIUrl":"https://doi.org/10.1145/3267195.3267199","url":null,"abstract":"Over the years, the advanced driver assistance system (ADAS) has evolved into a mature system-controlled driving. This includes automatic parking, obstacle detection, etc. One of the important aspects that still need to successfully investigate is the automatic lane change across different traffic scenarios and the different nature of roads. While it is still easier to identify the road, the rapid change in the traffic makes it difficult to safely carry out automatic lane change in real-time. This work proposes a mechanism by first modeling the behavior of vehicles in a dynamic environment by generating fusion data from various externally mounted sensors, RADAR and cameras and then develop a visual perception of the same using multi-object tracker and tracking Kalman filter.","PeriodicalId":185142,"journal":{"name":"Proceedings of the 1st International Workshop on Communication and Computing in Connected Vehicles and Platooning","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525690","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}