Teenage dreams of self-driving cars: Findings of a UTAUT-based conjoint analysis among the 14–19 age group by Szabolcs Prónay, Miklós Lukovics, Tamás Ujházi

“…The impending ubiquity of self-driving cars promises profound societal change, making public acceptance crucial. …”
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Transformation of insurance from the aspect of the development of autonomous vehicles by Vojvodić-Miljković Nevenka, Mandić Dejan, Miloradović Milica

Subjects: “…self - driving car…”
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The Great Age of the Car is on Its Way by Ferdinand Dudenhöffer

“…The innovation of the intelligent and self-driving car is revolutionary. China, the most important car market in the world, is setting the pace for the introduction of autonomous driving; it is, therefore, important to partner with China.…”
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A Comprehensive Review on Limitations of Autonomous Driving and Its Impact on Accidents and Collisions by Amit Chougule, Vinay Chamola, Aishwarya Sam, Fei Richard Yu, Biplab Sikdar

“…Using data from the DMV, NMVCCS, and NHTSA, the paper reveals the key factors behind self-driving car accidents. It delves into prevalent limitations faced by self-driving cars, encompassing issues like adverse weather conditions, susceptibility to hacking, data security concerns, technological efficacy, testing and validation intricacies, information handling, and connectivity glitches. …”
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Survey of Autonomous Vehicles’ Collision Avoidance Algorithms by Meryem Hamidaoui, Mohamed Zakariya Talhaoui, Mingchu Li, Mohamed Amine Midoun, Samia Haouassi, Djamel Eddine Mekkaoui, Abdelkarim Smaili, Amina Cherraf, Fatima Zahra Benyoub

“…The primary collision avoidance algorithms currently employed by self-driving cars are examined in this thorough survey. …”
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Systematic literature review on Internet-of-Vehicles communication security by Manar Abu Talib, Sohail Abbas, Qassim Nasir, Mohamad Fouzi Mowakeh

“…Currently, the popularity of Internet-of-Vehicles technology and self-driving cars are increasing rapidly. Several companies are investing in this field and are competing to release the latest and safest autonomous cars. …”
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Hybrid Optimization-Based Approach for Multiple Intelligent Vehicles Requests Allocation by Ahmed Hussein, Pablo Marín-Plaza, Fernando García, José María Armingol

“…Self-driving cars are attracting significant attention during the last few years, which makes the technology advances jump fast and reach a point of having a number of automated vehicles on the roads. …”
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Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms by Luis Fernando de Mingo López, Francisco Serradilla García, José Eugenio Naranjo Hernández, Nuria Gómez Blas

“…Some metaheuristic search/optimization algorithms have been tested to obtain optimal solutions to speed controller applications in self-driving cars. Some metaheuristic algorithms are based on social behaviour, resulting in several search models, functions, and parameters, and thus algorithm-specific strengths and weaknesses. …”
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SURVEY AND PROPOSED METHOD TO DETECT ADVERSARIAL EXAMPLES USING AN ADVERSARIAL RETRAINING MODEL by Thanh Son Phan, Quang Hua Ta, Duy Trung Pham, Phi Ho Truong

“…These models have revolutionized various fields, benefiting society in numerous ways, from self-driving cars and intelligent chatbots to automated facial authentication systems. …”
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Human Trajectory Imputation Model: A Hybrid Deep Learning Approach for Pedestrian Trajectory Imputation by Deb Kanti Barua, Mithun Halder, Shayanta Shopnil, Md. Motaharul Islam

“…Pedestrian trajectories are crucial for self-driving cars to plan their paths effectively. The sensors implanted in these self-driving vehicles, despite being state-of-the-art ones, often face inaccuracies in the perception of surrounding environments due to technical challenges in adverse weather conditions, interference from other vehicles’ sensors and electronic devices, and signal reception failure, leading to incompleteness in the trajectory data. …”
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Feature fusion-based collaborative learning for knowledge distillation by Yiting Li, Liyuan Sun, Jianping Gou, Lan Du, Weihua Ou

“…Deep neural networks have achieved a great success in a variety of applications, such as self-driving cars and intelligent robotics. Meanwhile, knowledge distillation has received increasing attention as an effective model compression technique for training very efficient deep models. …”
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Analyzing the Influence of Online Test-Driving Reviews on the Adoption of Autonomous Vehicles by Chuan Hui Liao, Xuan Zheng Wang, Ren Gang Guo, Siqi Wang

“…Improving consumers’ trust and awareness of self-driving cars has become an urgent problem in market promotion and technological development. …”
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Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

“…Autonomous vehicles (AVs), particularly self-driving cars, have produced a large amount of interest in artificial intelligence (AI), intelligent transportation, and computer vision. …”
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