Intelligent vehicles (IVs) have gained worldwide attention due to their increased
convenience, safety advantages, and potential commercial value. Despite predictions of …

Self-Driving Vehicles (SDVs) are increasingly popular, with companies like Google, Uber,
and Tesla investing significantly in self-driving technology. These vehicles could transform …

Small-object detection is a challenging task in computer vision due to the limited training
samples and low-quality images. Transfer learning, which transfers the knowledge learned …

Visible-infrared object detection has attracted increasing attention recently due to its
superior performance and cost-efficiency. Most existing methods focus on the detection of …

Autonomous trucking is a promising technology that can greatly impact modern logistics and
the environment. Ensuring its safety on public roads is one of the main duties that requires …

Efficient and accurate road boundary detection is a fundamental building component of the
perception system for autonomous driving. Specially, the challenges for road boundary …

LiDAR-Camera fusion can effectively provide the complementary geometric and
appearance information for 3D object detection task of autonomous driving system …

Object detection for autonomous haulage trucks in open-pit mines is challenging due to
unstructured environments. Collecting and annotating large-scale real-world images in …

The prevailing models for object detection are often beset by a dearth of generalizability
across domains. Specifically, while these models may perform exceptionally well on a given …

Aiming at the environment of low illumination, high dust, and heavy water fog in coal mine
driving face and the problems of occlusion, coincidence, and irregularity of bolt mesh laid on …