2.2.1. Non-DRL Planning Methods Ref. [18] proposed a Glow-worm Swarm Optimization (GSO) algorithm as a solution to UAV path planning in three-dimensional dynamic environments. Using GSO enables the UAV to avoid
Initially, they subdivided the polygon area and then conducted path planning for each subarea using a multi-UAV system. Torres et al. [25] presented a path planning algorithm for a single UAV with the aim of reducing battery usage and minimizing the number of turns, coping with both convex ...
(7) 4.2. Kalman Filter for Landing Platform Position Estimation At the beginning of autonomous landing tasks, our target localization algorithm relies on the position and velocity data transmitted from the landing platform. At this stage, the position data are measured by the GPS receiver integrated...
IoV faces challenges on many fronts [3]: dealing with resource constraints of devices in the network (e.g., low battery, reduced computational power), which limits algorithm and application development; the lack of means to deal with constant node mobility in a seamless fashion, which can ...
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