Vehicle detection technology is of great significance for realizing automatic monitoring and
AI-assisted driving systems. The state-of-the-art object detection method, namely, a class of …

Plastic litter has been widely documented in our oceans, leading to growing worldwide
concerns regarding its potential impact on the marine environment. A large proportion of this …

The increasing computational power of machines and more affordable robotic hardware and
software offer great opportunities for developing more advanced intelligent robotic systems …

A new frequency-modulated continuous-wave (FMCW) Lidar system is proposed to measure
distance and velocity unambiguously by using a frequency-shifted probe light. The optical …

As one of the main elements of reinforcement learning, the design of the reward function is
often not given enough attention when reinforcement learning is used in concrete …

Here, we examine the extension of smart retailing from the indoor confines of stores,
outward to high streets. We explore how several technologies at the union of retail …

In the autonomous driving process, the decision-making system is mainly used to provide
macro-control instructions based on the information captured by the sensing system …

In the field of object detection algorithms, the task of infrared vehicle detection holds
significant importance. By utilizing infrared sensors, this approach detects the thermal …

The increasing computational power of machines and more affordable robotic hardware and
software offer great opportunities for developing more advanced intelligent robotic systems …

The escalation in vehicular traffic, in conjunction with global population growth, has
precipitated heightened road congestion, augmented air pollution, and a rise in vehicular …