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Autonomous driving has been a hot topic with companies like Google, Uber, and Tesla because of the complexity of the problem, seemingly endless applications, and capital gain. The technology's brain child is DARPA's autonomous urban challenge from over a decade ago. Few companies have had some success in applying algorithms to commercial cars. These algorithms range from classical control approaches...
Drivers often park their vehicles without consciously (physically or mentally) noting down the parked location which makes it hard and inconvenient for the users to later locate their vehicles. Existing solutions either require users to explicitly note down the parked position on their mobile device by performing a certain action, such as pressing a button to turn on their global positioning system,...
Electric mobility combined with recent advances in autonomous driving provides a solution to the environmental and traffic challenges of the modern metropolis. In this work we present an innovative system that completely changes valet parking and the process of charging electric vehicles. The introduced system tackles the problem of precise and efficient autonomous navigation for vehicles in gps-denied...
The takeover phase from highly automated systems, when the transition phase is short (here 10s), is critical for the driver when he has been out of the driving loop. We conducted a simulator study on 26 drivers to compare three conditions: manual mode (MD), transition from automated driving (AD) to MD with a classical head up display (HUD), transition from (AD) to MD with an augmented reality (AR)...
We explored the problems which are soon to be faced while parking autonomous cars in parking lots. Like where is the closest parking slot available to the autonomous car? How to navigate to that location? What kind of parking structures could be good for autonomous cars? We also provide an initial solution which uses a central server and the graph of the parking lot to guide the cars to the closest...
In this paper, we present a method for estimating the confusion level of a driver using a classifier trained on multimodal sensor data. Using the driver confusion status detector, a car navigation system can proactively support the driver when he/she is confused. A corpus of data was collected during on-road driving in traffic using a navigation system and a car instrumented with a variety of sensors...
Find a car in a large parking lot is a challenge in our daily life. In this paper, a novel car-searching approach based on smartphone for a large parking lot is presented. In the new approach, some QR codes are set up in each area which can identify the parking spots. In addition, shortest path algorithm is used to plan the optimal car-searching path. Considering that some parkers with poor sense...
In many companies, it is popular on the use Automated Guided Vehicles for transporting materials, loading and unloading goods and also used as tuggers especially in the manufacturing and Exporting unit. We are using these kinds of Automated Guided Vehicle only for material transportation. But for the supervisors and HR managers, even suppliers and buyers are all have to use Battery Car for visiting...
Recent developments in the areas of decision support, data and decision mining, on-board infotainment systems have produced valuable results that can be used to support people in different aspects of their lives. Infomobile driver support is one of the possible applications of these, what can significant increase the quality of the user experience. The paper presents a developed approach and enabling...
A vehicle augmented reality system provides the warning, safety and route information which are registered on the real car or road or lane at the driver's range of vision for safety and convenience. This system helps the driver to drive safely by enhancing the perception of the driver. We have developed the vehicle augmented reality system which provides the forward situation awareness service and...
Mapping the environment is crucial to enable path planning and obstacle avoidance for self-driving vehicles and other robots. In this paper, we concentrate on ground-based vehicles and present an approach which extracts static obstacles from depth maps computed out of multiple consecutive images. In contrast to existing approaches, our system does not require accurate visual inertial odometry estimation...
In this paper, we show the concept of an automotive situation analysis (ASA) to determine the current driving situation in a given traffic scenario. To fulfill these we propose a consistent and extendable description of a driving situation, a situation model and a situation analysis. In the situation model, information of in-car sensors is used to build up a representation of the environment around...
In this paper, we present the modular design and implementation of an intelligent cruise control system, following the principles of system of systems engineering. The proposed intelligent cruise control system can be seen as system of systems, which consists of several different subsystems. Different subsystems communicate with each other and existing electronic systems on the automobile via programmed...
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