In deep CNN based models for semantic segmentation, high accuracy relies on rich spatial
context (large receptive fields) and fine spatial details (high resolution), both of which incur …

The segmentation algorithm for buildings and waters is extremely important for the efficient
planning and utilization of land resources. The temporal and space range of remote sensing …

Autonomous vehicles are gaining popularity, and the development of automatic parking
systems is a fundamental requirement. Detecting the parking slots accurately is the first step …

Due to the complex visual environment, such as lighting variations, shadows, and limitations
of vision, the accuracy of vacant parking slot detection for the park assist system (PAS) with a …

Semantically interpreting the traffic scene is crucial for autonomous transportation and
robotics systems. However, state-of-the-art semantic segmentation pipelines are dominantly …

Lane detection is one of the fundamental modules in self-driving. In this paper we employ a
transformer-only method for lane detection, thus it could benefit from the blooming …

Parking space detection is an important part of the automatic parking assistance system.
How to use existing sensors to accurately and effectively detect parking spaces is the key …

Semantic segmentation of panoramic images plays a key role in many applications, such as
security monitoring and autonomous driving. With the rapid development of deep learning …

Autonomous parking is an active field of automatic driving in both industry and academia.
Parking slot detection (PSD) based on a panoramic image can effectively improve the …

An intelligent cleaning vehicle improves the efficiency of road cleaning to a great extent. In
this case, road garbage recognition is fundamental and crucial. Usually, the pebbles are too …