针对交通场景语义分割算法中存在的易融入周围背景的纤细条状目标分割不连续,
模型参数量大等问题, 提出一种融合多尺度深度卷积的轻量级Transformer …

Autonomous surface vessels (ASVs) are growing rapidly due to their ability to execute
hazardous and time-consuming missions over water surfaces. Recently, camera-based …

To tackle the challenges posed by dense small objects and fuzzy boundaries on
unstructured roads in the mining scenario, we proposed an end-to-end small object …

Compared with general object detection, the scale variations, arbitrary orientations, and
complex backgrounds of objects in remote sensing images make it more challenging to …

High-definition (HD) maps can provide precise road information that enables an
autonomous driving system to effectively navigate a vehicle. Recent research has focused …

Adversarial examples represent a serious threat for deep neural networks in several
application domains and a huge amount of work has been produced to investigate them and …

Semantic segmentation plays a pivotal role in environmental perception for autonomous
driving. Video semantic segmentation (VSS) further takes temporal information into …

Automatic roads detection is an essential task for traffic safety and intelligent transportation
systems. Recently the long-wave infrared (LWIR) polarization imaging-based road detection …

Context modeling or multi-level feature fusion methods have been proved to be effective in
improving semantic segmentation performance. However, they are not specialized to deal …

Semantic segmentation is increasingly being applied on mobile devices due to
advancements in mobile chipsets, particularly in low-power consumption scenarios …