Ground Vehicle

Ground vehicle research centers on developing autonomous and efficient vehicles for various applications, focusing on robust localization, mapping, and navigation in diverse environments. Current efforts emphasize improving perception through sensor fusion (LiDAR, radar, cameras), employing advanced algorithms like deep learning and graphical neural networks for path planning and control, and developing sophisticated models for predicting and responding to dynamic driving scenarios. This research is crucial for enhancing safety, efficiency, and sustainability in transportation systems, impacting areas such as autonomous driving, logistics, and urban planning.