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Elevated roads are built worldwide to alleviate urban traffic congestions. An elevated road may overlap with the ground surface road. This poses a great challenge to auto navigation systems. It is particularly difficult for auto navigation systems to determine if an vehicle is running on an elevated road because altitude readings from GPS (Global Positioning Systems) receivers are of low accuracy...
Major accidents on highways, freeways and local roads can lead to huge social and economic impacts. Minor accidents may be resolved by the passengers themselves and do not require escorting to hospitals whereas major accidents where airbags are deployed require immediate attention of authorities. Automatic Smart Accident Detection (ASAD) is an auto-detection unit system that immediately notifies an...
The accelerometer has become one of the most popular sensors in recent years due to its low cost and the widespread availability of smart phones that now contain three axis accelerometers. This paper proposes an adaptive drift calibration technique for accelerometer signals, correcting higher sampling rate accelerometers using lower sampling rate velocity and position measurements. Specifically, this...
This paper demonstrates the validity of vehicle acceleration/deceleration signals derived from 1Hz sampled GPS position and OBDII velocity sensors through comparison to 40Hz sampled accelerometer measurements. Measurement of driver acceleration and deceleration is important because it is a key measure of driving habits. Ideally, these measurements should not require the cost and complexity of installing...
This paper compares four observers of vehicle sideslip angle. The first is linear and uses a linear vehicle model. Next observers use an extended nonlinear model. The three nonlinear observers are: extended Luenberger observer, extended Kalman filter and sliding mode observer. Modelling and model simplification are described, and an observability analysis is performed for the entire vehicle trajectory...
Nowadays, many noticeable continues efforts are taken in the vehicle industry to develop robust intelligent systems that control and monitor the vehicles during operational time to lower the side effects of some abnormal conditions such as sliding and spinning; because of their main role in affecting the human safety and the vehicle life-time as well as the costs related to maintenance. Therefore,...
This paper presents the design and simulation results of a vehicle path planning algorithm that takes into account traffic and other obstacles on a highway. The proposed algorithm is designed to require little computation in order to achieve a real time evaluation in an embedded environment such as an ECU. Hence, the trajectory planning is proposed as a two-step algorithm. The first step defines at...
An accurate estimation of the vehicle velocity is one of the greatest challenges in modern vehicle systems. The velocity is needed for the Antilock Braking System (ABS) and Traction Control System (TCS) as well as for the Electronic Stability Program (ESP) and cannot be measured directly. Using at least two fist sensors, which measure the vertical frequency component of a front wheel and the related...
This study proposes a vehicle-following control system for personal electric vehicles (EV). Recently, projects aimed at using personal vehicles to solve vehicle transportation problems associated with overcrowding in cities and depopulation in mountain villages have been under way in several regions in Japan. This study was conducted to contribute to improving mobility in depopulated regions by applying...
This study provides a new mode of transport in urban areas inhabited by many elderly people. In some of these areas, public transport systems are inadequate and parking spaces for private cars are in short supply. In addition, the decline of shopping malls around these areas makes life inconvenient for the inhabitants. Here we introduce a car-sharing service of vehicle-following personal vehicles...
Governments, industries and last but not least customer's demand for low-pollutant, efficient and comfortable vehicles has extended the system development scope towards the combination of in-vehicle systems and environment. Whereas the information from the on-board systems is available for several functions per se, the environmental information has to be grabbed using sensors and/or communication...
The V2V communication is a promising technology aiming at the growing demands on safety, comfort and efficiency. A variety of research projects demonstrate the expandability of the V2V communication across the boundaries of current industry standards. The authors divide the expandability into two key aspects: collective scene description and cooperative maneuvers. This article combines the expandability...
The technology embedded in common smartde-vices can be used for important tasks, as the enhancement of drivers safety. In this paper, two algorithms which can be easily implemented in a smartdevice and make use of standard onboard sensors, such as the camera and the accelerometer, are described. The first exploits the high performance in image processing of Cellular Nonlinear Networks to detect the...
In autonomous quadrocopter navigation, wind disturbances commonly pose a problem for the vehicle to navigate precisely on the planned path. The vehicle easily deviates off from the path and obviously affects the navigation accuracy. Trajectory correction is one possible solution proposed by few researchers to avert the problem. The approaches are proven to increase the efficiency for the vehicle to...
Advanced Driver Assistance System (ADAS) is one of latest innovations in the auto-mobile industry and has become a premium feature in many luxury vehicles. ADAS assists drivers by integrating multiple safety and convenience features into a single system. Current ADAS technology usually comprises of an Adaptive Cruise Control (ACC) system in combination with one or more warning/prevention systems....
This paper presents DriveSafe, a new driver safety app for iPhones that detects inattentive driving behaviors and gives corresponding feedback to drivers, scoring their driving and alerting them in case their behaviors are unsafe. It uses computer vision and pattern recognition techniques on the iPhone to assess whether the driver is drowsy or distracted using the rear-camera, the microphone, the...
Google already showed the self-driving car can do stopping and accelerating more smoothly than the human drivers by doing extensive experiments. In this paper, we compare a human driver with computer generated motion for expressway lane changing. We did experiments at Nagoya ring route expressway and recorded all the detail motion information regarding lateral and longitudinal movement of a taxi driver...
There is a growing need for vehicular mobility datasets that can be employed in the simulative evaluation of protocols and architectures designed for upcoming vehicular networks. Such datasets should be realistic, publicly available, and heterogeneous, i.e., they should capture varied traffic conditions. In this paper, we contribute to the ongoing effort to define such mobility scenarios by introducing...
We present an iterative learning scheme for improving the performance of highly dynamic open-loop maneuvers with quadrocopters. A probabilistic estimate of the state deviation at the end of the maneuver is obtained by fusing two data sources that are available on-board: 1) an inertial measurement unit, and 2) control inputs from an external pilot that performs a recovery after the open-loop maneuver...
In the present scenario, mobile phone is considered to be one of the prime causes of road accidents. In this paper we have used mobile phone itself as a means of safe and impervious driving. We have successfully detected and analysed the driving behaviour - Acceleration/Deceleration, Lane Change. Also the road anomalies like bumps and potholes are detected and data is processed to generate alerts...
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