Multi-objective adversarial perturbations on LiDAR point clouds using NSGA-III to evaluate SLAM robustness. Integrates MOLA SLAM with Isaac Sim via ROS2.
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Updated
Oct 1, 2026 - Python
Multi-objective adversarial perturbations on LiDAR point clouds using NSGA-III to evaluate SLAM robustness. Integrates MOLA SLAM with Isaac Sim via ROS2.
Python scripts to load and visualise 3D particle distributions from MAVEN instruments (SWEA, STATIC, SEP) using pytplot, xarray, and matplotlib.
Scripts and preliminary analysis for constructing a global Mars MOLA DEM
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