Simulation-Based Testing of Subsystems for Autonomous Vehicles at the Example of an Active Suspension Control System by Volker Landersheim, Matthias Jurisch, Riccardo Bartolozzi, Georg Stoll, Riccardo Möller, Heiko Atzrodt

“…It is designed directly for use in autonomous cars and uses inputs from the vehicle motion planning subsystem for planning the suspension actuator motion. …”
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Information Fusion in Autonomous Vehicle Using Artificial Neural Group Key Synchronization by Mohammad Zubair Khan, Arindam Sarkar, Hamza Ghandorh, Maha Driss, Wadii Boulila

“…Information fusion in automated vehicle for various datatypes emanating from many resources is the foundation for making choices in intelligent transportation autonomous cars. To facilitate data sharing, a variety of communication methods have been integrated to build a diverse V2X infrastructure. …”
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A Local Explainability Technique for Graph Neural Topic Models by Bharathwajan Rajendran, Chandran G. Vidya, J. Sanil, S. Asharaf

“…Such models find immense application in many sectors, including healthcare, financial services, and safety-critical systems like autonomous cars. This model is not explainable. As a matter of fact, the user cannot comprehend the underlying decision-making process. …”
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The Thorny Challenge of Making Moral Machines: Ethical Dilemmas with Self-Driving Cars by Awad, Edmond, Bonnefon, Jean-François, Shariff, Azim, Rahwan, Iyad

“…The integration of autonomous cars will require a new social contract that provides clear guidelines about who is responsible for different kinds of accidents, how monitoring and enforcement will be performed, and how trust among all stakeholders can be engendered.…”
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What every engineer should know about smart cities / by Graciano Neto, Valdemar Vicente, author 654966, Kassab, Mohamad, author 654967, Taylor & Francis Group (Online service) 645650

“…With clear definitions and a focus on real-world applications, this book explores the benefits and challenges of smart cities, and highlights interdisciplinary topics such as smart buildings, autonomous cars, and urban emergency management systems. …”
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40‐TFLOPS artificial intelligence processor with function‐safe programmable many‐cores for ISO26262 ASIL‐D by Jinho Han, Minseok Choi, Youngsu Kwon

“…The function‐safe architecture is proposed for a fault‐tolerance system such as an electronics system for autonomous cars. The general‐purpose processor (GPP) core is integrated with STC for controlling the STC and processing the AI algorithm. …”
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Assistance System for Traffic Signs Inventory by Karel Zídek, Tomáš Koubek, David Procházka, Marcel Vytečka

“…We can see arising trend in the automotive industry in last years – autonomous cars that are driven just by on-board computers. …”
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Verification of hardware-in-the-loop test bench for evaluating steering wheel angle sensor performance for steer-by-wire system by Michał Pietruch, Andrzej Wetula, Andrzej Młyniec

“…It plays the most crucial role in autonomous cars where the vehicle must perform maneuvers on its own without driver’s intervention. …”
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PlatoonSAFE: An Integrated Simulation Tool for Evaluating Platoon Safety by Shahriar Hasan, Joseba Gorospe, Svetlana Girs, Arrate Alonso Gomez, Elisabeth Uhlemann

“…Platooning is highly tractable for enabling fuel savings for autonomous and semi-autonomous cars and trucks. Safety concerns are one of the main impediments that need to be overcome before vehicle platoons can be deployed on ordinary roads despite their readily available technical feasibility. …”
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Towards the Verification of Safety-critical Autonomous Systems in Dynamic Environments by Adina Aniculaesei, Daniel Arnsberger, Falk Howar, Andreas Rausch

“…There is an increasing necessity to deploy autonomous systems in highly heterogeneous, dynamic environments, e.g. service robots in hospitals or autonomous cars on highways. Due to the uncertainty in these environments, the verification results obtained with respect to the system and environment models at design-time might not be transferable to the system behavior at run time. …”
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Research on Omnidirectional Stereo Measurement Using Convex Mirrors and Vertical Disparity by Yuki Ozawa, Shingo Kimura, Yiling Zhu, Atsutoshi Kurihara, Yue Bao

“…In recent years, there has been significant research in the fields of autonomous cars and robots. In these fields, three-dimensional measurements of the surrounding environment have become indispensable. …”
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Camera-LiDAR Multi-Level Sensor Fusion for Target Detection at the Network Edge by Javier Mendez, Miguel Molina, Noel Rodriguez, Manuel P. Cuellar, Diego P. Morales

“…However, most of the current state-of-the-art target detection algorithms for autonomous cars do not take into consideration the hardware limitations of the vehicle such as the reduced computing power in comparison with Cloud servers as well as the reduced latency. …”
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Three Three-Axis IEPE Accelerometers on the Inner Liner of a Tire for Finding the Tire-Road Friction Potential Indicators by Arto Niskanen, Ari J. Tuononen

“…Direct tire-road contact friction estimation is essential for future autonomous cars and active safety systems. Friction estimation methods have been proposed earlier for driving conditions in the presence of a slip angle or slip ratio. …”
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State Transition for Statistical SLAM Using Planar Features in 3D Point Clouds by Amirali Khodadadian Gostar, Chunyun Fu, Weiqin Chuah, Mohammed Imran Hossain, Ruwan Tennakoon, Alireza Bab-Hadiashar, Reza Hoseinnezhad

“…With the increasing utilization of scanners with common autonomous cars, and availability of 3D point clouds in real-time and at fast rates, it is now possible to use more sophisticated features extracted from the point clouds for filtering. …”
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A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors by Tiago Gomes, Diogo Matias, André Campos, Luís Cunha, Ricardo Roriz

“…In the near future, autonomous vehicles with full self-driving features will populate our public roads. However, fully autonomous cars will require robust perception systems to safely navigate the environment, which includes cameras, RADAR devices, and Light Detection and Ranging (LiDAR) sensors. …”
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COVID-19 and public support for autonomous technologies—Did the pandemic catalyze a world of robots? by Michael C. Horowitz, Lauren Kahn, Julia Macdonald, Jacquelyn Schneider

“…We compare support for autonomous cars, autonomous surgeries, weapons, and cyber defense pre- and post-the beginning of the COVID-19 pandemic. …”
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COVID-19 and public support for autonomous technologies-Did the pandemic catalyze a world of robots? by Michael C Horowitz, Lauren Kahn, Julia Macdonald, Jacquelyn Schneider

“…We compare support for autonomous cars, autonomous surgeries, weapons, and cyber defense pre- and post-the beginning of the COVID-19 pandemic. …”
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Attention-Based Context Aware Network for Semantic Comprehension of Aerial Scenery by Weipeng Shi, Wenhu Qin, Zhonghua Yun, Peng Ping, Kaiyang Wu, Yuke Qu

“…Although FCN (Fully Convolutional Networks)-like deep convolutional network architectures have been widely applied in the perception of autonomous cars, there are still two challenges in the semantic segmentation of RSIs. …”
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Multi-agent reinforcement learning for autonomous vehicles: a survey by Joris Dinneweth, Abderrahmane Boubezoul, René Mandiau, Stéphane Espié

“…Mixed traffic may fail to fulfill expected security requirements due to the heterogeneity and unpredictability of human drivers, and autonomous cars could then monopolize the traffic. Using multi-agent reinforcement learning (MARL) algorithms, researchers have attempted to design autonomous vehicles for both scenarios, and this paper investigates their recent advances. …”
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A review on action recognition for accident detection in smart city transportation systems by Victor A. Adewopo, Nelly Elsayed, Zag ElSayed, Murat Ozer, Ahmed Abdelgawad, Magdy Bayoumi

“…This paper provides a potential research direction to develop and integrate accident detection systems for autonomous cars and public traffic safety systems by alerting emergency personnel and law enforcement in the event of road traffic accidents to minimize the human error in accident reporting and provide a spontaneous response to victims.…”
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