This paper aims at real-time in-car video analysis to detect and track vehicles ahead for safety, autodriving, target tracing. describes a comprehensive approach localizing in under various environmental conditions. The extracted geometry features from the are continuously projected onto 1-D profile constantly tracked. We rely on temporal information of their motion behaviors vehicle identification, which compensates complexity recognizing shapes, colors, types. probabilistically model field...

This paper explores shape from contour for acquiring 3-D graphics models. In this method, a continuous sequence of images is taken as an object rotates. A smooth convex can be estimated instantaneously its and by the first derivative movement (trace contour, or distribution with time). We also analyze shapes that do not satisfy conditions smoothness visibility, which are indispensable modeling object. region does expose yields nonsmoothness in tracked movement. thus detect such filtering...

The objective of this paper is the instantaneous computation time-to-collision (TTC) for potential collision only from motion information captured with a vehicle borne camera. contribution detection dangerous events and degree directly divergence in driving video, which also clue used by human drivers. Both horizontal vertical are analyzed simultaneously several sensitive zones. video data condensed to profiles both horizontally vertically lower half show trajectories as edge traces. Stable...

Abstract The process of natural silk production in the spider major ampullate (Ma) gland endows dragline with extraordinary mechanical properties and potential for biomimetic applications. However, precise genetic roles Ma during this remain unknown. Here, we performed a systematic molecular atlas through high-quality genome assembly golden orb-weaving Trichonephila clavata multiomics approach to defining tri-sectional architecture: Tail, Sac, Duct. We uncovered hierarchical biosynthesis...

In the stratosphere, use of winds to navigate balloons has emerged as a practical approach for Earth observation, collecting meteorological data, and other applications. However, controlling such is challenging due imperfect wind data need real-time decisions. Research in this field predominantly concentrates on station-keeping missions, but there an absence studies stratospheric balloon path planning. work, we employ deep reinforcement learning train controller that guides from random...

Route panorama is a new image medium for digitally archiving and visualizing scenes along route. It's suitable registration, transmission, visualization of route scenes. This article explores projection, resolution, shape distortion. It also discusses how to improve quality, achieve real-time display long panoramas on the Internet.

A dynamically generated panoramic representation for route recognition by a mobile robot is presented. The strategies employed are description from experience and visual information. In the phase, representation, of scenes along route, proposed. It obtained scanning sideways which provides rich information, such as 2-D projection called view, path-oriented 2-1/2-D sketch, path description. continuous view more efficient in processing than integrating discrete views into complete model....

We recover 3D models of objects with specular surfaces. An object is rotated and its continuous images are taken. Circular-shaped light sources that generate conic rays used to illuminate the rotating in such a way highlighted stripes can be observed on most Surface shapes computed from motions highlights images; either motion stereo or single trace mode used. When lights properly set, each point during rotation. The shape for rotation plane measured independently using corresponding...

Smart grid provides significant enhancement to the reliability and efficiency of electricity systems, but real-time consumption information exposes user's privacy. To tackle this challenging issue, we present a novel privacy-preserving scheme. Before smart meter (SM) joins in network, require Diffie-Hellman key exchange registration authenticate SMs. A function group key, time number SMs is introduced generate pseudo IDs for Then each SM sends data with its ID rather than original ID. simple...

Abstract Daily precipitation/temperature data collected at 74 weather stations across the Pearl River basin of China (PRBC), for years 1952–2013, were used to analyse extreme precipitation (EP) processes annual and seasonal scales in terms magnitude, occurrence rates, timing. Peak‐over‐threshold sampling, modified Mann‐Kendall trend tests, Poisson regression model utilized this study. Causes driving observed statistical behaviours EP investigated, focusing particularly on impacts temperature...

Wireless sensor networks (WSNs) play a crucial role in visual surveillance for automatic object detection, such as real-time traffic monitoring, vehicle parking control, intrusion detection,and so on. These online applications require efficient computation and distribution of complex image data over the wireless camera network with high reliability detection rate real time. Traditionally, make use modules capturing flow two dimensional images through The resulting huge amount impose severe...

Abstract The number of reference materials (RMs), including certified (CRMs) characterized for qualitative properties, has steadily increased in recent years. In response, the Technical Committee Reference Materials International Organization Standardization, ISO/TC 334, developed ISO 33406 to provide guidance material producers (RMPs) on producing RMs. builds general requirements 17034:2016 RMP competence and offers specific value assignment, assessment homogeneity stability, statement...

To prevent vehicles running off road, road edge detection is a fundamental function. Current work on has not exhaustively tackled all weather and illumination conditions. In this paper, we first sort roads under various illuminations. Then, data mining applied to large driving video set learn the qualitative statistical distribution of appearances. The corresponding features are selected for robust detection. visualize appearance evaluate accuracy detected compact profile image generated...

Semantic segmentation is an interesting task for many deep learning researchers scene understanding. However, recognizing details about objects' attributes can be more informative and also helpful a better understanding in intelligent vehicle use cases. This paper introduces method simultaneous semantic pedestrian recognition. A modified dataset built on top of the Cityscapes created by adding attribute classes corresponding to orientation attributes. The proposed extends SegNet model...

Bringing computer graphics and virtual reality technologies to traditional archaeology raises surprising possibilities. First, it permits exploring, assembling, visualizing relics without disturbing their physical location or damaging specimens. Second, brings a "what if" scenario the task of reassembling fragments, which would otherwise involve applying permanent adhesives, rendering mistakes irrevocable. Virtual recovery affords an opportunity previsualize alternatives repeat processes,...

Nowadays, many vehicles are equipped with a vehicle borne camera system for monitoring drivers' behavior, accident investigation, road environment assessment, and safety design. Huge amount of video data is being recorded daily. Analyzing interpreting these in an efficient way has become non-trivial task. As index quick browsing, this work maps the into temporal image reduced dimension as much intrinsic information possible observed on road. The perspective projection converted to top-view...

After the reform and opening up, China's construction industry has been growing at a high speed in vigorous development with of national economy, but it also faced huge challenge recent years. Aiming problems traditional engineering construction, u se way collaborative design is helpful for communication coordination participation all parties. Therefore, project collaboration platform based on cloud BIM was established, applied to application. In cloud, establishment model, designer's rights...

Stereo images taken by a mobile robot are analyzed and integrated into world model. The knowledge on the properties of environment, such as flatness floor richness in vertical surfaces, is arranged constraints matching interpreting images. First, stereo matcher detects edge points predicting disparities from camera model testing them actual Next, correspondences edges starting at established. By iterating similar procedures, different levels scene also detected. hypothesis that region...

Autonomous vehicle safety driving requires many vision tasks, such as road segmentation, lane mark detection, and recognition by frontal cameras. However, all these tasks can suffer due to drastic changes of weather illumination. To make a more robust function in driving, it is for human drivers, this study models spectrum illuminations visible environments. We implement big-data mining on naturalistic videos through four seasons understand the influence Weather sensitive regions are sampled...

The authors introduce an approach to building a qualitative description of scenes along route, which is used in route recognition by mobile robot. consists series landmarks autonomously selected the robot from generalized panoramic view generated as visual memory routes. basic idea bridge quantitative examine distinctiveness patterns image and select unique that are remarkable navigate.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

The authors explore a new intrinsic property of dynamic vision, shape from motion, and they argue its superiority over motion change for class motion. Based on the concept anorthoscopic perception, show how two-dimensional projection, which contains major portion spatial temporal information 3-D scenes, is obtained consecutive 1-D images through slit, when relative between viewer scenes known. slit should be nonparallel to optical flow in an image. Analyzing projection reduces redundant...

This paper proposes a visual representation named scene tunnel for capturing urban scenes along routes and visualizing them on the Internet. We scan with multiple cameras or fish-eye camera moving vehicle, which generates real archive streets that is more complete than previously proposed route panoramas. Using translating spherical eye, properly set planes of scanning, unique parallel-central projection, we explore image acquisition from selection alignment, slit calculation, to...