Safe and efficient manoeuvring for emergency vehicles in autonomous traffic using multi-agent proximal policy optimisation
Manoeuvring in the presence of emergency vehicles is still a major issue for vehicle
autonomy systems. Most studies that address this topic are based on rule-based methods …
autonomy systems. Most studies that address this topic are based on rule-based methods …
Switching Trackers for Effective Sensor Fusion in Advanced Driver Assistance Systems
Modern cars utilise Advanced Driver Assistance Systems (ADAS) in several ways. In ADAS,
the use of multiple sensors to gauge the environment surrounding the ego-vehicle offers …
the use of multiple sensors to gauge the environment surrounding the ego-vehicle offers …
Artificial intelligence challenges for power transformer maintenance
M Grisaru - Transformers Magazine, 2022 - hrcak.srce.hr
Sažetak Artificial intelligence (AI) attempts to be involved in power transformer diagnostics
are relatively old and coincide with the AI development in close domains. Artificial …
are relatively old and coincide with the AI development in close domains. Artificial …
Impact of AI TRiSM on Knowledge and Decision Making for Business Executives in the Education Industry
M El Khatib, M Al Sharif… - International Journal of …, 2023 - journals.gaftim.com
Artificial intelligence, also referred to as AI, allows operations to run efficiently, gathers
important and relevant data, and self-analyses trends for accurate decision making. This …
important and relevant data, and self-analyses trends for accurate decision making. This …
Distracted Driver Detection: A Safer Reinforcement Learning Approach
PE Sharouni - 2024 - studenttheses.uu.nl
Both driver inattention and driver distraction present significant challenges in road safety,
leading to an increasing number of accidents and fatalities every year. As drivers …
leading to an increasing number of accidents and fatalities every year. As drivers …