Estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. This study aimed to use the particle swarm optimization (PSO) algorithm for automatic calibration of the HEC-HMS hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...

The recent trend of fusing complementary data from LiDARs and cameras for more accurate perception has made the extrinsic calibration between two sensors critically important. Indeed, to align spatially proper fusion, process usually involves estimating parameters them. Traditional LiDAR–camera methods often depend on explicit targets or human intervention, which can be prohibitively expensive ...