Fuel Saving Indeks Assessment on Driving Behavior Control System Prototype Model Using Neural Network by Suroto Munahar, Aris Triwiyatno, M Munadi, Joga Dharma Setiawan

“…However, research on driving behavior is only studied for implementation in autonomous car-following technologies, safety systems, charging needs characteristic of electric vehicles, emission controls, and display images on in-vehicle information systems. …”
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Incremental sampling-based algorithm for minimum-violation motion planning by Reyes Castro, Luis I., Chaudhari, Pratik Anil, Tumova, Jana, Karaman, Sertac, Frazzoli, Emilio, Rus, Daniela L.

“…This problem is motivated by an autonomous car navigating an urban environment while following rules of the road such as “always travel in right lane” and “do not change lanes frequently”. …”
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Large–scale urban localisation with a pushbroom LIDAR by Baldwin, IA

“…Consider the case of an autonomous car – we require the vehicle to be able to perceive its environment through noisy sensors, robustly fuse this information into an accurate representation of the world, and use this representation to plan and execute complex tasks – all the while dealing with the uncertainties inherent in real world operation.…”

Computationally-efficient path planning algorithms in obstacle-rich environments based on visibility graph method by Abdul Latip, Nor Badariyah

“…The implementation of PD controller may contribute to path planning software development for autonomous car industry.…”
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Driver Take-Over Reaction in Autonomous Vehicles with Rotatable Seats by Shi Cao, Pinyan Tang, Xu Sun

“…The current study showed that in a fixed-based simulator representing a conditionally autonomous car, when using the rear-facing driver seat configuration (where participants rotated the seat by themselves), participants had longer take-over reaction time overall due to physical turning, but they intervened faster after they turned back their seat for take-over response in comparison to the traditional front-facing seat configuration. …”
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Vehicles detection using deep learning with improved single shot detector by Wong, Ngei Siong

“…In short, the trained model can serve as a good starting point for the development of autonomous car.…”
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Mathematical Methods in Interdisciplinary Sciences / by Chakraverty, Snehashish, editor 219100

A Novel Approach to Global Positioning System Accuracy Assessment, Verified on LiDAR Alignment of One Million Kilometers at a Continent Scale, as a Foundation for Autonomous DRIVIN... by Janusz Bedkowski, Hubert Nowak, Blazej Kubiak, Witold Studzinski, Maciej Janeczek, Szymon Karas, Adam Kopaczewski, Przemyslaw Makosiej, Jaroslaw Koszuk, Michal Pec, Krzysztof Miksa

“…The impact of global positioning system accuracy on autonomous car safety is discussed. It is shown that 99% of the assessed data satisfy the safety requirements (driving within lanes of 3.6 m) for Mid-Size (width 1.85 m, length 4.87 m) vehicles and 95% for Six-Wheel Pickup (width 2.03–2.43 m, length 5.32–6.76 m). …”
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Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab by Hu, Yifei

“…With the development of artificial intelligence, research in the field of in intelligent driver assistance systems and autonomous cars attracts more and more attentions. Therefore, as a fundamental technology of autonomous cars, traffic signs recognition becomes one of the hottest research. …”
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Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland by Agnieszka Dudziak, Monika Stoma, Andrzej Kuranc, Jacek Caban

“…The main aim of the study was to analyze the impact of selected factors on the perception of the future of autonomous cars by respondents from the area of Southeastern Poland in terms of a comparison with traditional cars, with particular emphasis on the advantages and disadvantages of this concept. …”
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Heat Transfer and Its Innovative Applications by Ping-Hei Chen, Hyung Hee Cho

“…Innovative and high-end techniques have been recently developed in academic institutes and are gradually being employed in our daily lives for improving living quality, namely, artificial intelligence (AI) technology, autonomous cars, hyper-loop for high-speed transportation, miniaturization of electronic devices, heat dissipation from cooling films to outer space, and so on [...]…”
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Environmental-Driven Approach towards Level 5 Self-Driving by Mohammad Hurair, Jaeil Ju, Junghee Han

“…For autonomous vehicles to safely drive in complex environments, autonomous cars should ensure end-to-end delay deadlines of sensor systems and car-controlling algorithms including machine learning modules, which are known to be very computationally intensive. …”
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Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data by Jesús Balado, Joaquín Martínez-Sánchez, Pedro Arias, Ana Novo

“…In the near future, the communication between autonomous cars will produce a network of sensors that will allow us to know the state of the roads in real time. …”
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Direction Estimation of Pedestrian from Images by Shimizu, Hiroaki, Poggio, Tomaso

“…The capability of estimating the walking direction of people would be useful in many applications such as those involving autonomous cars and robots.We introduce an approach for estimating the walking direction of people from images, based on learning the correct classification of a still image by using SVMs. …”
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Direction Estimation of Pedestrian from Images by Shimizu, Hiroaki, Poggio, Tomaso

“…The capability of estimating the walking direction of people would be useful in many applications such as those involving autonomous cars and robots. We introduce an approach for estimating the walking direction of people from images, based on learning the correct classification of a still image by using SVMs. …”
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Managing Trade-off Between Subscription Load and Latency in Vehicular Edge Platform by Takumu Takada, Ryohei Banno

“… Adding connectivity to vehicles is attracting much attention toward developing smarter vehicles such as autonomous cars. To obtain and utilize real-time information from vehicles, techniques that combine the concept of edge computing and publish/subscribe messaging model have been proposed. …”
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Entanglement-enhanced optical gyroscope by Matthias Fink, Fabian Steinlechner, Johannes Handsteiner, Jonathan P Dowling, Thomas Scheidl, Rupert Ursin

“…Fiber optic gyroscopes (FOG) based on the Sagnac effect are a valuable tool in sensing and navigation and enable accurate measurements in applications ranging from spacecraft and aircraft to self-driving vehicles such as autonomous cars. As with any classical optical sensors, the ultimate performance of these devices is bounded by the shot-noise limit (SNL). …”
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Ethical Challenges and Countermeasures of Autonomous Vehicles by Zhu Xi, Gu Zhiqiang, Wang Zhen

“…For the ethical dilemma of autonomous cars, every countrie currently does not have a perfect solution. …”
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Detecting Danger: AI-Enabled Road Crack Detection for Autonomous Vehicles by Alisha Raza, Debnarayan Khatua, Rachaita Dutta, Reddy G. Vijendar, John Vivek

“…The present article proposes the deep learning concept termed ―Faster-Region Convolutional Neural Network‖ (Faster-RCNN) technique to detect cracks on road for autonomous cars. Feature extraction, preprocessing, and classification techniques have been used in this study. …”
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DRIVER’S ACCEPTANCE OF FULLY AUTOMATED VEHICLES by Iulia Ioana MIRCEA, Ciprian Sorin VLAD, Eugen ROȘCA

“…With 98% of road accidents linked to human error, the widespread use of autonomous cars with level 5 technology is expected to help meet the EU's target of approaching 0 deaths by 2050. …”
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