... artificial intelligence intelligent decision-making simulation and design Algorithm 2 Energy management based on traffic light detection Reduce AC and BTMS power before intersections If Traffic light signal is GREEN then Set AC and Battery to normal mode Else If Traffic light signal is RED...

... disturbances. Even if some features are obtained, the path information is mostly discontinuous, unclear, and distorted. With the development of artificial intelligence in recent years, deep learning methods have gradually become a feasible solution to achieve more accurate distinction of weld objects...

... ( x , y , t ) = I ( x + d x , y + d y , t + d t ) With the rapid development of artificial intelligence technology, deep learning enables the extraction of data which have certain specific characteristics. So deep learning can be combined with SLAM systems...

...Mariana Pinto; Inês Dutra; Joaquim Fonseca Autonomous driving has become one of the most popular research topics within artificial intelligence. An autonomous vehicle is understood as a system that combines perception, decision-making, planning, and control. All of those tasks require...

...: drkparhi@nitrkl.ac.in 15 02 2023 25 07 2023 25 07 2023 05 10 2023 artificial intelligence intelligent decision making task assignment and task switching Humanoid robots are considered to have greater mobility and control flexibility than traditional mobile robots...

... ]. These make path planning a challenging task. genetic algorithm artificial intelligence evolutionary algorithm path planning robotics controls and observation environmental models vehicle autonomy 23 03 2023 15 07 2023 17 07 2023 16 08 2023 1 Corresponding author...

... 05 05 2023 16 06 2023 quantum computing quantum circuits ODE solver robotics linear ordinary differential equations artificial intelligence autonomous mobility and maneuver autonomy and level of operator control controls and observation inputs/outputs intelligent decision...

...@esat.kuleuven.be 1 Equal first authors. 01 06 2020 27 09 2021 27 09 2021 23 03 2022 artificial intelligence vehicle autonomy We present a method to localize a monocular image stream in a previously mapped environment. In this context, we describe a light-weight system...

... vehicles sensors RADAR LIDAR camera ultrasonic sensors artificial intelligence inputs/outputs vehicle autonomy Autonomous vehicles are getting noticed in the technology industry. More companies are designing self-driven cars and/or other vehicles/products to facilitate certain tasks...

... Email: xiangxlily@163.com 16 11 2020 07 04 2021 09 04 2021 04 05 2021 object detection multi-object tracking 3D Kalman filter data association algorithm artificial intelligence vehicle autonomy Copyright © 2021 by ASME 2021 American Society of Mechanical...

.... Considering the ≈100 precrash scenarios identified by NHTSA, this translates to a simple average of ≈2–4 million miles per precrash scenario. artificial intelligence controls and observation intelligent decision-making simulation and design 21 06 2020 05 11 2020 05 11 2020...

.../01621459.1949.10483310 [25] Metropolis , N. , 1987 , “ The Beginning of the Monte Carlo Method ,” Los Alamos Sci. , 15 ( 584 ), pp. 125 – 130 . [26] Allis , L. V. , 1994 , Searching for Solutions in Games and Artificial Intelligence , Ponsen & Looijen Wageningen , Maastricht . [27...