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The transport industry has recently shown significant interest in unmanned surface vehicles (USVs), specifically for port and inland waterway transport. These systems can improve operational efficiency and safety, which ...

Electric vehicles are currently the leading solution in the automotive market to reduce greenhouse gas emissions. However, transitioning from traditional internal combustion engines poses many challenges. One of these ch...

This study develops a sustainable vehicle routing framework that addresses gender imbalance in freight transport, where women remain significantly underrepresented in driving roles. The framework integrates gender-differ...

Autonomous underwater vehicles (AUVs) operating in harsh, communication-limited underwater environments require robust fault diagnosis systems to ensure mission success and safety. Existing model-based approaches suffer ...

This article presents the design and simulation-based evaluation of a 225 kW grid-interactive bidirectional fast DC charger for electric vehicles operating in both grid-to-vehicle (G2V) and vehicle-to-grid (V2G) modes. T...

Agile, dynamic, and safe motion planning in interactive environments is a key challenge for autonomous vehicles. Most research has focused on enhancing established planning algorithms, often aiming to improve optimality ...

Ising machines, including quantum annealing machines, are promising next-generation computers for combinatorial optimization problems. However, due to hardware limitations, most Ising-type hardware can only solve objecti...

The rapid proliferation of unmanned aerial vehicles (UAVs) has created an urgent need for robust detection & identification systems to ensure airspace security and safety. However, the scarcity of large-scale, div...

The perception systems for Traffic Sign Recognition (TSR) and Lane Line Recognition (LLR) are foundational pillars for the safe and effective operation of Advanced Driver-Assistance Systems (ADAS) and fully autonomous ve...

Zernike moments are well-suited for unmanned aerial vehicle scene matching because of their rotation invariance and robustness to noise. However, their high computational complexity poses challenges for meeting the real-...

For autonomous vehicles to effectively navigate urban environments where pedestrians and personal vehicles are in close proximity, it is crucial to accurately track and predict their positions and velocities to enable ef...

Camera rigs for Advanced Driver Assistance Systems (ADAS) are subject to design choices of each vehicle variant; therefore, ADAS algorithms should be rig-invariant or tunable with limited additional data. Recently, the A...