Social network analysis systematically connotes relationships and associated patterns between various groups. It unravels the groups in finding ties structures and their impact on individuals and their relationships. This article explores the structural patterns of collaboration in the area of LIDAR usage in vehicles by utilizing 709 Science Citation Index and Science Citation Index Expanded research articles. Social network analysis measures of degree, betweenness, and eigenvector centrality are used to probe into the impact of social networks. Empirical analysis reveals that the USA is the most influential country when international co-authorship is considered. The following countries in this category are the UK, China, Germany and Australia respectively. On the other hand, the California Institute of Technology, the University of Los Angeles, NASA, and the University of Maryland USA are ranked as 1st, 3rd, 4th, and 5th respectively when the top 5 co-institutions are considered. Wuhan University of China, Yonsei University, and Seoul National University of South Korea are placed at 2nd, 6th, and 7th place respectively in this category.