Environment perception is the premise for intelligent vehicles to drive safely and stably.
Despite the rapid development of road detection technology based on visual images, it is …

Detection of road boundaries and obstacles is essential for autonomous vehicle navigation.
In this paper, we propose a road boundary and obstacle detection method using a …

Despite rapid developments in visual image-based road detection, robustly identifying road
areas in visual images remains challenging due to issues like illumination changes and …

The movement state of obstacle including position, velocity, and yaw angle in the real traffic
scenarios has a great impact on the path planning and decision-making of autonomous …

Effectively detecting road boundaries in real time is critical to the applications of autonomous
vehicles, such as vehicle localization, path planning, and environmental understanding. To …

Road boundary detection is essential for autonomous vehicle localization and decision-
making, especially under GPS signal loss and lane discontinuities. For road boundary …

Roadside light detection and ranging (LiDAR) is an emerging traffic data collection device
and has recently been deployed in different transportation areas. The current data …

Further detection will increase traffic safety by perceiving unexpected traffic incidents earlier,
allowing more time to make decisions and implement these decisions. Therefore, this article …

Autonomous vehicle navigation is challenging since various types of road scenarios in real
urban environments have to be considered, particularly when only perception sensors are …

Light Detection and Ranging (LiDAR) technology has the advantages of high detection
accuracy, a wide range of perception, and not being affected by light. The 3D LiDAR is …