Visual place recognition for autonomous robots using deep learning by Huang, Yifeng

“…In addition, self-driving cars require precise, light and comfortable shapes to operate in order to achieve their portability. …”
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Dataset for 'Quantitative CEST Imaging of Amide Proton Transfer in Acute Stroke': MAT files for figures of quantitative results by Msayib, Y

“…Refer to the paper in order to identify what the error bars represent in each figure. The structure of the data are described below for each figure, where square brackets indicate the dimension of matrix being accessed i.e. …”

Sensor fusion for object detection under adverse weather by Soh, Brandon Jian Zheng

“…The innovative strides in AV technology, from self-driving cars to autonomous delivery drones, have captured widespread attention and are poised to reshape the future of mobility. …”
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Data preparation and visualization of heavy vehicular movement for traffic prediction by Chong, Ji Shen

“…Hence the road often taken by such buses can be determined to be similar to regular cars and vehicles. This meant that there are a wider range of alternate routes available for these private buses.…”
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What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future by Graeff, Erhardt

“…U.S. states have passed laws to address self-driving cars on public roads (Marcus 2012). And nearer the subject of this paper, the legality of search engine bots (web crawlers) has been openly questioned on grounds of intellectual property protection and trespassing (Plitch 2002). …”
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Examining the adoption of electromobility concepts across social contexts for energy transition by K?hlke, Julia, Lechowicz, Adam, Fabikun, Oluwole, Bashir, Noman, Souza, Abel, Shenoy, Prashant, Lehnhoff, Sebastian

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An optimal scheduling scheme for electric vehicles in smarts grids by Teh, Xiu Yi

“…Over the past ten years, the use of electric cars has risen rapidly. While charging a huge amount of electric vehicles at the same time or during peak hours might affect the electrical grid because of the sudden surge of electric demand. …”
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Lane-aware image enhancement for lane detection in rain (part A) by Zeng, Lanning

“…In this project, we mainly developed two methods to detect objects on the road, such as trucks, passenger cars, road signs, etc. The first method is to use Faster R-CNN algorithm to test rainy images; the second method is to use SDD algorithm to test dataset. …”
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FPS-Net: a convolutional fusion network for large-scale LiDAR point cloud segmentation by Xiao, Aoran, Yang, Xiaofei, Lu, Shijian, Guan, Dayan, Huang, Jiaxing

“…Scene understanding based on LiDAR point cloud is an essential task for autonomous cars to drive safely, which often employs spherical projection to map 3D point cloud into multi-channel 2D images for semantic segmentation. …”
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Microbially induced calcite precipitation in residual soil improvement by Murtala Umar

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Physical unclonable function based solutions to unification of user, device and data authentication by Zheng, Yue

“…The non-repudiation assumption of these conventional techniques is being challenged by emerging artificial-intelligent assisted and malware-based attacks on independently chained weak links (factors), and their limited extension to IoT scenarios, where the sheer number of inexpensive and often insufficiently protected endpoints prevent application of standard, secret-key based techniques. …”
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Impact of BPL penalty functions and PSF models in PET/CT radial spatial resolution recovery by Si, Wang Jie

“…Additionally, different reconstruction algorithms' impact on spatial resolution within PET/CT FOV was assessed using standard deviation calculations and plotting error bars to show spreading of the data around the mean as well as to determine the significant difference between the FWHM measured using different types of reconstruction. …”
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Surface Compositions of Trojan Asteroids by Emery, Joshua P., Binzel, Richard P., Britt, Daniel T., Brown, Michael E., Howett, Carly J. A., Martin, Audrey C., Melita, Mario D., Souza-Feliciano, Ana Carolina, Wong, Ian

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Research into the impacts of electronic road pricing and in-vehicle unit on commercial drivers' perception and behaviour by Ang, Shang Le

“…They will end-up paying for more due to a higher mileage as compared to other private cars. The future of ERP is still uncertain and there are bound to have significant changes. …”
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Lane-aware image enhancement for lane detection in rain (part B - communications) by Tian, Zichen

“…In recent years, auto-driving is becoming a hot topic. Auto-driving cars utilize in-vehicle cameras to capture the surrounding environment images and use algorithms to extract useful information from images. …”
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Evaluation of carob tree (Ceratonia siliqua L.) pods, through three different drying techniques, and ultrasonic assisted extraction, for presence of bioactives by Hussain, Ashiq, Arif, Muhammad Rehan, Ahmed, Adnan, Laaraj, Salah, Firdous, Nida, Ali, Muhammad Qasim, Haya Fatima, ., Yaqub, Shazia, Kauser, Samina, Nisar, Rizwan, Gorsi, Faiza Iftikhar, Ud Din, Ghulam Mueen, Elfazazi, Kaoutar

“…The purpose of this study was to determine how ethanolic extracts of carob pods from Morocco, prepared with ultrasonic assistance were affected by microwave (525 °C for 2.5 min), hot air (65 °C for 16 h), and spray drying (input and output air temperatures 180 and 90 °C, respectively, feed flow rate 2.5 mL/min and 5 bars, respectively), in terms of their physicochemical composition and biological activity. …”
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Multi-sensor calibration and multi-modal perception for intelligent systems by Zhang, Jun

“…The main novelty is we propose to use the easy-to-obtain objects in the traffic for calibration (cars, trucks, buses, etc.). The essence is we observe that the 3D bounding box centers of the vehicles are viewpoint invariant. …”
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Genome-wide transcriptome profiling reveals molecular response pathways of Trichoderma harzianum in response to salt stress by Yang, Qihong, Mao, Zhenchuan, Hao, Yali, Zheng, Shijie, Zhao, Jianlong, Li, Yan, Yang, Yuhong, Xie, Bingyan, Ling, Jian, Li, Yanlin

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Scheduling and resource optimization in rail operations : models and algorithms by Birhade, Mahendra Pandharinath

“…Railway resources such as tracks, overhead equipment, locomotives, passenger and freight cars require huge capital investments and long lead time for procurement and installation. …”
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Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

“…Secondly, current domain adaptation methods require careful manual hyper-parameter tuning, which is not realistic for unmanned systems such as smart cars. To stabilize the training of adversarial domain adaptation, Max-margin Domain-Adversarial Training (MDAT) is developed in this thesis to realize stable convergence without cumbersome manuals. …”
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