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Driving analysis is a recent topic of interest due to the growing safety concerns in vehicles. However, the lack of publicly available driving data currently limits the progress on this field. Machine learning techniques could highly enhance research, but they rely on large amounts of data which are difficult and very costly to obtain through Naturalistic Driving Studies (NDSs), resulting in limited...
Advances in computer hardware and sensing technologies have enabled the design and development of low-cost autonomous underwater vehicles (AUVs). The reduced cost of new platforms such as the Bluefin SandShark present the opportunity for more frequent and high-risk AUV-based experiments and reduce the barrier to entry for multi-vehicle operations. The smaller size of these new vehicles compared to...
Thanks to the increase in processing power and in the number of sensors present in today's mobile devices, context-aware applications have gained a renewed interest. This paper focuses on a particular type of context, the transportation mode used by a person for carbon footprint estimation and it summarizes a method for automatically classifying different transportation modes with a smartphone. The...
We propose a method for ego-lane estimation that can robustly determine the currently used lane as required by future lane-precise navigation systems. It employs a lane-level map-matching on a digital road map through least-squares optimization and only requires sensors available in current production vehicles, such as GPS, odometry, visual lane-marking detection and radars. Radar data is used in...
SenseMyCity is an opportunistic mobile crowdsensing tool available for researchers to design and implement data collection campaigns for studying large-scale processes. We discuss how our tool addresses two critical aspects of large scale data gathering campaigns: compliance with data protection guidelines and low intrusiveness. The latter is achieved by low battery consumption and low interaction...
Vehicles in the near future will be equipped with dedicated short-range communications (DSRC) transceiver which holds great promise of significantly reducing vehicle collisions by enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. In addition, modern vehicles will be equipped with different on-board sensors such as GPS receivers and ranging sensors (e.g., cameras,...
Opportunistic real time mobile crowdsensing pertains to the instantaneous monitoring of large scale phenomena by leveraging human mobility and smartphones' sensors. However, while urban applications concern more about coverage quality and timeliness of detected data, mobile users should care about their consumed energy for performing a sensing task. In this paper, we introduce the Real time OPportunistic...
In this paper, we propose a novel framework of localization algorithm based on Compressive Sensing (CS) by K-Nearest Neighbor (KNN) classification in Wireless Sensor Networks (WSNs), which can effectively alleviate the problem of off-grid. Many papers about CS-based localization assume that each target is in the center of the grid. However, the assumption is almost impossible. In this paper, the targets...
Controlling a UAV in an emergency situation is a challenging task and it requires a highly skilled person. With modern technologies it is possible to design a UAV which can be controlled by anyone regardless of their skills. The objective of this study is to develop an intelligent quadrotor flight controller for autonomous navigation to aid humans. The intelligent flight controller is realized by...
Nowadays, the development of Intelligent Transportation System (ITS) is increasing due to its versatility, adaptability and use of clean energy. There are a number of pass and on-going projects worldwide dealing with the different challenges and approaches to solve road transport-related issues. Some of them are dealing with the Cybernetic Transportation Systems (CTS), which is an urban mobility concept...
Road accidents are one of the universal problems faced by people all around the world. A major reason is reckless driving on speed breakers and ditches causing high causalities due to no warning signs, lack of street lights, substandard construction etc. There has been some research related to finding a Computer Science oriented solution but no substance in terms of a product. We present an Android...
In the context of Intelligent Transportation Systems (ITS) and Vehicular Ad Hoc Networks (VANETs), several applications rely on localization for a complete work. In the last years, a myriad of applications has been developed which require several levels of accuracy of localization Indeed, a considerable part of these applications and services rely on purely GPS solutions. In scenarios such as tunnels,...
Technical advancements allow for the development of crowd monitoring and management support systems to ensure the safety of pedestrians during large-scale events. This way, pedestrian behaviour can be monitored during events, and potential dangerous situations can be identified in a timely manner. A real-time prototype Crowd Monitoring Dashboard has been developed for a large nautical event in Amsterdam...
In the last years there has been a rising interest in monitoring driver behaviors by using smartphones, due to their increasing market penetration. Inertial sensors embedded in these devices are key to carry out this task. Most of the state-of-the-art apps use fix thresholds to detect driving events from the inertial sensors. However, sensors output values can differ depending on many parameters....
In-vehicle smartphones contain rich information of driving and therefore can be utilized to establish driver behavior profile. The GPS data indicates the occurrence of driving events like gas-hit, brake-hit, turn-right, turn-left, and forward-driving. The inertial measurement unit (IMU) data, provides good estimations of vehicle lateral, longitudinal, and vertical accelerations and rotations. One...
This paper presents a smartphone based dangerous driving behavior detection method. This method is meaningful in applying in driver risk behavior monitoring system, vehicle safe driving system or Usage Based Insurance (UBI). A novel yaw angle detection algorithm is proposed only based on the measurements of low accuracy accelerometers and gyroscopes without any requirements of smartphone placement...
In this paper we present a novel two-camera-based accurate vehicle speed detection system. Two high-resolution cameras, with high-speed and narrow field of view, are mounted on a fixed pole. Using different focal lengths and orientations, each camera points to a different stretch of the road. Unlike standard average speed cameras, where the cameras are separated by several kilometers and the errors...
L2C is the second civilian signal broadcasted on the modernized block of GPS satellites. Compared with L1C/A, the length of L2C code is longer, and includes the civil moderate code (CM code, 20ms) and the civil long code (CL code, 1.5s), which are based on time division multiplexing. For the long CL code, rapid acquisition is difficult due to the large search space. To accelerate the search process...
Recent technological advances and the ever-greater developments in sensing and computing continue to provide new ways of understanding our daily mobility. Smart devices such as smartphones or smartwatches can, for instance, provide an enhanced user experience based on different sets of built-in sensors that follow every user action and identify its environment. Monitoring solutions such as these,...
Despite significant progress in GPS-denied autonomous flight, long-distance traversals (> 100 km) in the absence of GPS remain elusive. This paper demonstrates a method capable of accurately estimating the aircraft state over a 218 km flight with a final position error of 27 m, 0.012% of the distance traveled. Our technique efficiently captures the full state dynamics of the air vehicle with semi-intermittent...
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