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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The Case for Decentralized Fallback Networks by Lynch, James, Liu, Ziqian, Li, Chenning, Ghobadi, Manya, Balakrishnan, Hari

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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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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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m3: Accurate Flow-Level Performance Estimation using Machine Learning by Li, Chenning, Nasr-Esfahany, Arash, Zhao, Kevin, Noorbakhsh, Kimia, Goyal, Prateesh, Alizadeh, Mohammad, Anderson, Thomas

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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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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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