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Abstract The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast development of network, sensors, as well as computing technology, it becomes realizable to have vehicles driving a...

Abstract The development of a battery management algorithm is highly dependent on high-quality battery operation data, especially the data in extreme conditions such as low temperatures. The data in faults are also essen...

Human driven vehicles (HDVs) with selfish objectives cause low traffic efficiency in an un-signalized intersection. On the other hand, autonomous vehicles can overcome this inefficiency through perfect coordination. In t...

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...

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 ...

Abstract DriveEmo-FL presents a privacy-preserving, radar-based emotion-recognition framework tailored for autonomous-vehicle (AV) cabins. Leveraging a compact embedded mmWave radar, the system captures upper-body emotio...

Abstract The last few years have seen significant developments in automated vehicle (AV) technologies and their commercialization. While unconstrained autonomous driving remains an aspiration, and progress in AV connecti...

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffi...

Abstract The new energy vehicle plays a crucial role in green transportation, and the energy management strategy of hybrid power systems is essential for ensuring energy-efficient driving. This paper presents a state-of-...

Materias / palabras clave: autonomous medical devices and systems, autonomous vehicles, interactive intelligent systems, autonomous robotics and control, autonomous systems, artificial intelligence; Technology

Materias / palabras clave: smart public transport, autonomous and intelligent vehicles, traffic modelling, big data, machine learning, artificial intelligence; Technology: Engineering (General). Civil engineering (General): Transportation engineer...

Materias / palabras clave: robotics, remote sensing, vehicular technology, autonomous systems, intelligent systems; Technology: Motor vehicles. Aeronautics. Astronautics

Materias / palabras clave: smart vehicles, automatic vehicles, autonomous vehicles, intelligent transportation, advanced transportation systems; Technology: Engineering (General). Civil engineering (General): Transportation engineering; Social Sci...