{"id":123011,"date":"2021-09-15T14:34:02","date_gmt":"2021-09-15T18:34:02","guid":{"rendered":"https:/news/wp-json/wp/v2/posts/123011///news/wp-json/wp/v2/posts/123011//www.ucf.edu/news/wp-json/wp/v2/posts/123011//news/news/wp-json/wp/v2/posts/123011//?p=123011"},"modified":"2024-08-26T16:15:07","modified_gmt":"2024-08-26T20:15:07","slug":"ucf-researchers-awarded-4-5-million-to-develop-non-gps-location-finder","status":"publish","type":"post","link":"https:/news/wp-json/wp/v2/posts/123011///news/wp-json/wp/v2/posts/123011//www.ucf.edu/news/wp-json/wp/v2/posts/123011//news/news/wp-json/wp/v2/posts/123011//ucf-researchers-awarded-4-5-million-to-develop-non-gps-location-finder/news/wp-json/wp/v2/posts/123011//","title":{"rendered":"麻豆原创 Researchers Awarded $4.5 Million to Develop Non-GPS Location Finder"},"content":{"rendered":"

The Army Research Lab has awarded the 麻豆原创 a $4.5 million grant to develop a smart, computer vision-based navigation system for when GPS is unavailable or jammed./news/wp-json/wp/v2/posts/123011/n

The system will be like a cyber co-pilot that supports navigation of ground vehicles by using artificial intelligence and machine learning to assess computer imaging of terrain captured by the vehicle and by unmanned aerial vehicles (UAVs). It will help drivers determine where they are and how to get to where they are going in complex terrain./news/wp-json/wp/v2/posts/123011/n