Utilizing b-spline curves and neural networks for vehicle trajectory prediction in an inverse reinforcement learning framework
MS Jazayeri, A Jahangiri - Journal of Sensor and Actuator Networks, 2022 - mdpi.com
The ability to accurately predict vehicle trajectories is essential in infrastructure-based safety
systems that aim to identify critical events such as near-crash situations and traffic violations …
systems that aim to identify critical events such as near-crash situations and traffic violations …
Near-Miss Detection on Traffic Intersections with a Distributed Overlapping Multi-Camera System
L Weide - 2024 - essay.utwente.nl
Intersections are critical areas where a substantial number of traffic accidents occur.
Detecting and analyzing near-miss events is key to signaling a high risk of accidents early …
Detecting and analyzing near-miss events is key to signaling a high risk of accidents early …
AN APPLICATION OF UNMANNED AERIAL VEHICLES IN INTERSECTION TRAFFIC MONITORING
S Zong - 2022 - hammer.purdue.edu
Motor vehicle crashes at represent a major cause of fatalities and injuries. As such, road
transportation agencies continue to seek proactive intersection traffic monitoring initiatives to …
transportation agencies continue to seek proactive intersection traffic monitoring initiatives to …