Semantic segmentation is an important research topic in the environment perception of
intelligent vehicles. Many semantic segmentation networks based on bilateral architecture …

The tradeoff between speed and accuracy is important in semantic segmentation problems,
especially for resource-constrained platforms, such as intelligent vehicles. In this paper, we …

As the techniques of autonomous driving become increasingly valued and universal, real-
time semantic segmentation has become very popular and challenging in the field of deep …

Semantic segmentation is a critical component for street understanding task in autonomous
driving field. Existing various methods either focus on constructing the object's inner …

The main challenges of semantic segmentation in vehicle-mounted scenes are object scale
variation and trading off model accuracy and efficiency. Lightweight backbone networks for …

Real-time semantic segmentation is widely used in autonomous driving and robotics. Most
previous networks achieved great accuracy based on a complicated model involving mass …

Real-time and high-performance semantic segmentation is a crucial task in the scene
understanding of autonomous vehicles. This paper focuses on this issue and proposes a …

Real-time understanding of surrounding environment is an essential yet challenging task for
autonomous driving system. The system must not only deliver accurate result but also low …

The vehicle-borne optical imaging sensor system cannot accurately and quickly receive
information about the driving environment, which may lead to the Autonomous Driving …

Semantic segmentation is used by intelligent transportation systems to understand and
sense the traffic environment. However, achieving semantic segmentation in real-time is a …