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This paper presents an approach to a driver assistant system for a two-wheeled self-balancing mobility vehicles in particular for a Segway. The approach is aimed for the readily available mobile devices, which become a part of our daily life such as a smartphone or a tablet. If a mobile device is well-positioned on a mobility vehicle, its front and rear cameras can be utilized as sensors to capture...
This paper describes the development and design of vision-based remote controlled cellular robots. Cellular robots have numerous applications in industrial problems where simple inexpensive robots can be used to perform different tasks that involve covering a large working space. These robots are controlled based on the visual input from one or more cameras that monitor the working area. As a result,...
TechViz has been a supporter of Formula Student at KIT for several years reflecting the companys long-term commitment to enhance engineering and education by providing students with powerful VR system software to connect curriculum to real-world applications. Incorporating immersive visualisation and interaction environment into Formula Student vehicle design is proven to deliver race day success,...
Recent research indicates that users consistently underestimate depth judgments to Augmented Reality (AR) graphics when viewed through optical see-through displays. However, to our knowledge, little work has examined how AR graphics may affect depth judgments of real world objects that have been overlaid or annotated with AR graphics. This study begins a preliminary analysis whether AR graphics have...
We propose an indirect-vision, video-see-through augmented reality (AR) cockpit that uses telexistence technology to provide an AR enriched, virtually transparent view of the surroundings through monitors instead of windows. Such a virtual view has the potential to enhance driving performance and experience above conventional glass as well as head-up display equipped cockpits by combining AR overlays...
In this study, in order to develop the lane keep assistance using expansion of body schema by combination of TENS (Transcutaneous electrical nerve stimulation) and view information, the effect to the driving skill on each condition is verified. In the six mode (2 visual × 3 stimulus), participant drive the test course. In the end, it is clearly that driving skill was positively affected by TENS and...
This paper describes method for detecting the problem of driver vigilance. Drivers with a low vigilance level suffer from a marked decline in their abilities of recognition the object in front of them, and vehicle control, and therefore pose serious danger to their own life and the lives of other people. With the increasing traffic conditions, this problem will further deteriorate. For this reason,...
This paper presents a method for detecting city-scale changes of a city from its street images and a 2D map. Using SfM to reconstruct point cloud of the structures of the city, the method estimates the existence of each building by matching the point cloud with the 3D building structures recovered from the map. There are multiple difficulties, such as inaccuracy of the recovered building structures,...
Carsharing has emerged as an alternative to vehicle ownership and is a rapidly expanding global market. Particularly through the flexibility of free-floating models, car sharing complements public transport since customers do not need to return cars to specific stations. We present a novel data analytics approach that provides decision support to car sharing operators -- from local start-ups to global...
EEG topographic mapping is used to examine the effect of the different cognitive tasks (math and decision-making problems) on drivers' cognitive state. Two simulated driving sessions, namely driving with distraction and driving without distraction are designed to investigate the impact of the secondary tasks on EEG responses and driving performance. Forty two subjects participated in this study and...
This paper describes and extensively evaluates a visual-based system that autonomously operators for both building a map and localization tasks. The proposed system is to assist mapping services to the visually impaired/blind people in small or mid-scale environments such as inside a building or campus of school, hospital. Toward this end, the proposed approaches solely rely on visual data thanks...
Map application has played a more and more important role in today's autonomous drive and navigation techniques. However, most of the existing maps can only reach road-level (meter scale) accuracy, which cannot meet the needs of driving with no hands. Based on this situation, a method to generate lane-level (centimeter scale) orthophoto maps is proposed. This method utilizes a multiple onboard cameras...
This paper presents a method for vision-based landing of a multirotor unmanned aerial vehicle (UAV) on an autonomous surface vehicle (ASV) equipped with a helipad. The method includes a mechanism for helipad behavioural search when outside the UAV's field of view, a learning saliency-based mechanism for visual tracking the helipad, and a cooperative strategy for the final vision-based landing phase...
This paper proposes a performance test framework for vision based vehicle detection systems implemented on road-going vehicles. An extensive literature review outlines the evolution of test frameworks used by a number of recently published vehicle detection systems. The proposed test framework determines the effectiveness of a detection algorithm as a function of distance between the host and target...
This paper deals with design of hybrid software and hardware sensor, which can be used for mobile robots visual odometry task. The paper is focused to sensing raw data only. This approach combines onboard hardware sensors - accelerometer, gyroscope, magnetometer and camera with software module, which is mainly based on computer vision. Output from vision system is relative change of position and rotation...
Previous works on outdoor traffic sign recognition and classification have been demonstrated useful to the driver assistant system and the possibility to the autonomous vehicles. This motivates our research on the assistance for visual impairment or visual disabled pedestrians in the indoor environment. In this paper, we build an indoor sign database and investigate the recognition and classification...
Logo identification and classification have received considerable attention from both the machine learning and computer vision communities. Vehicle logo recognition (VLR) is used to recognise accurately the manufacturer of a vehicle by using its iconic logo. A VLR system in addition to license plate recognition aims to increase the confidence of vehicle monitoring systems in private environments such...
VANET Simulation schemes require a combination of mobility and wireless network simulation packages, coupled with custom scripts, visualization tools and various scenarios. The results of simulation studies need to be supported by special tools or scripts to analyze or visualize them easily. Some additional difficulties arise at sharing the results, visually comparing simulation runs across different...
Driving simulations are widely used to send navigational and warning information to help drivers navigate safely. The traditional approaches are to use visual and auditory channels which can cause sensory overloading. Haptic has major safety implication on reducing visual and auditory overloading in driving, and since seats are the largest area in touch with the driver's body, it is a sensible choice...
In densely populated areas, we currently see a paradigm shift in personal mobility. For the younger generation, car usership is gradually replacing the need of car ownership. However, for example, when relying on car sharing solutions, users often spontaneously drive cars they are not used to. Results are increased stress and a higher risk of accidents. For that reason, we present a mobile application-based...
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