The use of simulators in robotics research is widespread, underpinning the majority of recent
advances in the field. There are now more options available to researchers than ever before …

Deep learning-based object detection solutions emerged from computer vision has
captivated full attention in recent years. The growing UAV market trends and interest in …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …

The ability to detect and classify rare occurrences in images has important applications--for
example, counting rare and endangered species when studying biodiversity, or detecting …

Simulation platforms facilitate the development of emerging Cyber-Physical Systems (CPS)
like self-driving cars (SDC) because they are more efficient and less dangerous than field …

Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is
a monumental task. To augment existing manual patrolling efforts, unmanned aerial …

Testing with simulation environments helps to identify critical failing scenarios for self-driving
cars (SDCs). Simulation-based tests are safer than in-field operational tests and allow …

Abstract Unmanned Aerial Vehicles (UAVs), also called drones, are used for various
applications with two basic classifications: civilian and military drones. Civilian drones are …

Simulation platforms facilitate the continuous development of complex systems such as self-
driving cars (SDCs). However, previous results on testing SDCs using simulations have …