Hybrid control and learning with coresets for autonomous vehicles by Rosman, Guy, Paull, Liam, Rus, Daniela

“…We demonstrate the construction of the embedding, and efficient detection of switching points for autonomous and non-autonomous car data. We further show how our approach enables efficient sampling of training data, to further improve either our embedding or the controllers.…”
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Design and development of multi-band antennas for ITS applications by Fan, Yunfei

“…Although, driverless cars can help people to improve the current situation, it estimates that a publicly available autonomous car still needs at least 10 years. The purpose of this report is to find out a design and fabrication method for the low cost multi-band antenna, which is based on the V2X concept for Intelligent Transportation Systems (ITS). …”
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Real-time video processing using contour numbers and angles for non-urban road marker classification by Md. Sani, Zamani, Abd. Ghani, Hadhrami, Besar, Rosli, Azizan, Azizul, Abas, Hafiza

“…The road markers classification is significantly important especially for the autonomous car technology. The current problems of extensive processing time and relatively lower average accuracy when classifying up to five types of road markers are addressed in this paper. …”
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Road Sign Board Direction and Location Extraction and Recognition for Autonomous Vehicle. by Kosar Rafeeq Tawfeeq ,Moayad Y. Potrus

“…Then extract the direction of each address location that are included in the road board sign and inform the car about the direction because autonomous car has no any driver so the car must decide by itself witch direction to choose to get the goal address location. …”
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Multiagent Multimodal Trajectory Prediction in Urban Traffic Scenarios Using a Neural Network-Based Solution by Andreea-Iulia Patachi, Florin Leon

“…It uses vectors of agent features as inputs rather than images, and it is designed to run on a physical autonomous car, addressing the real-time operation requirements. …”
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Hybrid control and learning with coresets for autonomous vehicles by Rosman, Guy, Paull, Liam, Rus, Daniela L

“…We demonstrate the construction of the embedding, and efficient detection of switching points for autonomous and non-autonomous car data. We further show how our approach enables efficient sampling of training data, to further improve either our embedding or the controllers.…”
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Ready for robots? Assessment of autonomous delivery robot operative accessibility in German cities by Martin Plank, Clément Lemardelé, Tom Assmann, Sebastian Zug

“…Unlike autonomous car applications, the operational area of urban service autonomous robots like autonomous delivery robots (ADRs) is not clearly defined at the moment. …”
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Simulating autonomous driving styles: Accelerations for three road profiles by Karjanto Juffrizal, Md. Yusof Nidzamuddin, Terken Jacques, Delbressine Frank, Hassan Muhammad Zahir, Rauterberg Matthias

“…A driving style with the accelerations of LRT has also been included in this study as it is significant to the present methodology because the autonomous car is predicted to accelerate like an LRT, in such a way that it enables the users to conduct activities such as working on a laptop, using personal devices or eating and drinking while travelling. …”
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Building low cost advanced driver assistance systems–vehicle tracking by Lu, Yuzhen

“…Through counting, most of the car accidents are caused because of the reckless of the driver. Autonomous car is then introduced to the public because machines will never feel tiredness and they will always obey the set rules. …”
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Price tag recognition using HSV color space by Hussin, M. N. A., Ahmad, A. H., Abdul Razak, M. A.

“…Object and character recognition from images are widely used for example plate car number recognition, scanner and even in the autonomous car. Researchers had developed lot of algorithms and image processing techniques to extract the features in the image such as hue, saturation and value (HSV) color filtering. …”

Utilizing Probabilistic Maps and Unscented-Kalman-Filtering-Based Sensor Fusion for Real-Time Monte Carlo Localization by Wael A. Farag, Julien Moussa H. Barakat

“…An autonomous car must know where it is with high precision in order to maneuver safely and reliably in both urban and highway environments. …”
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A Decision-Making Strategy for Car Following Based on Naturalist Driving Data via Deep Reinforcement Learning by Wenli Li, Yousong Zhang, Xiaohui Shi, Fanke Qiu

“…To improve the satisfaction and acceptance of automatic driving, we propose a deep reinforcement learning (DRL)-based autonomous car-following (CF) decision-making strategy using naturalist driving data (NDD). …”
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Towards Sustainable Liveable City: Management Operations of Shared Autonomous Cargo-Bike Fleets by Imen Haj Salah, Vasu Dev Mukku, Malte Kania, Tom Assmann

“…Policymakers, researchers, and companies are working intensively to provide novel options that are environmentally friendly and sustainable. While autonomous car-sharing services have been introduced as a very promising solution, an innovative alternative is arising: the use of self-driving bikes. …”
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Finger Gesture Spotting from Long Sequences Based on Multi-Stream Recurrent Neural Networks by Gibran Benitez-Garcia, Muhammad Haris, Yoshiyuki Tsuda, Norimichi Ukita

“…In order to validate our method, we collect a finger gesture dataset in an in-vehicle scenario of an autonomous car. 226 videos with more than 2100 continuous instances were captured with a depth sensor. …”
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Virtual Underwater Datasets for Autonomous Inspections by Ioannis Polymenis, Maryam Haroutunian, Rose Norman, David Trodden

“…There have been recent breakthroughs in Artificial Intelligence (AI) and, notably, Deep Learning (DL) models and applications, which have widespread usage in a variety of fields, including aerial unmanned vehicles, autonomous car navigation, and other applications. However, they are not as prevalent in underwater applications due to the difficulty of obtaining underwater datasets for a specific application. …”
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Implementation of line detection self-driving car using HSV method based on raspberry pi 4 by Florentinus Budi Setiawan, Eric Pratama Putra, Leonardus Heru Pratomo, Slamet Riyadi

“…This self-driving car system uses a prototype called an autonomous car to walk on a path which is a self-driving car navigation direction based on the detected line to be able to detect camera sensors that process line images from the camera using HSV. method. …”
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Runtime verification for stochastic systems by Wilcox, Cristina M

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Giving smart devices a body by Xiao, Siyue

“…However, methodologies for robust control of autonomous car navigations are still underdeveloped. This is particularly true for Automated Guided Vehicles (AGV), for which the surrounding environment can be much noisier and more dynamic than Unmanned Aerial Vehicle (UAV). …”
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Study of model predictive control for path-following autonomous ground vehicle control under crosswind effect by Yakub, F., Abu, A., Sarip, S., Mori, Y.

“…We present a comparative study of model predictive control approaches of two-wheel steering, four-wheel steering, and a combination of two-wheel steering with direct yaw moment control manoeuvres for path-following control in autonomous car vehicle dynamics systems. Single-track mode, based on a linearized vehicle and tire model, is used. …”
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Joint Object Detection and Re-Identification for 3D Obstacle Multi-Camera Systems by Irene Cortés, Jorge Beltrán, Arturo de la Escalera, Fernando García

“…The growing on-board processing capabilities have led to more complex sensor configurations, enabling autonomous car prototypes to expand their operational scope. …”
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