Autonomous Driving: A Survey of Technological Gaps Using Google Scholar and Web of Science Trend Analysis

• Main Authors: Hacohen, S. (Author), Medina, O. (Author), Shoval, S. (Author)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: autonomous driving; Autonomous driving; Autonomous vehicle; Autonomous vehicles; Autonomous Vehicles; cooperative driving; Cooperative driving; Google scholar; Google trend.; Google trends; Google trends.; Internet; Laser radar; Location awareness; Market research; Market Research; Market researches; Optical radar; Roads; safety; Sensors; Surveys; Traffic congestion; V2X; Vehicle to Everything
• Online Access: View Fulltext in Publisher

 Autonomous Driving (AD) introduces dramatic changes to the way we travel. This emerging technology has the potential to impact the transportation sector across a wide array of categories including safety, efficiency, congestion, legislation, and travel behavior. In this survey, we review the main issues involved in AD as discussed in the literature, and shed light on topics that we consider requiring further development based on Google Scholar and the Web of Science (WoS) data base. The paper also provides the results of research trends related to Autonomous Driving based on analysis of the number of search results listed in google trends. According to our research, the fields of Vehicle-to-Vehicle (V2V) and Vehicle-to-Cloud (V2C) networking are of higher interest due to the technological gaps and standardization processes. In addition, cyber and security research is in acceleration due to its importance. Author