We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

Lane detection in driving scenes is an important module for autonomous vehicles and
advanced driver assistance systems. In recent years, many sophisticated lane detection …

In this paper, we propose a unified end-to-end trainable multi-task network that jointly
handles lane and road marking detection and recognition that is guided by a vanishing point …

As the key part of autonomous driving (AD), High-Definition (HD) map provides more precise
location and rich semantic information than the traditional map. With the development of AD …

For scalable autonomous driving, a robust map-based localization system, independent of
GPS, is fundamental. To achieve such map-based localization, online high-definition (HD) …

Recently, deep learning models have achieved great success in computer vision
applications, relying on large-scale class-balanced datasets. However, imbalanced class …

Reliable and accurate lane detection has been a long-standing problem in the field of
autonomous driving. In recent years, many approaches have been developed that use …

The accurate detection and classification of road markings is required for autonomous
vehicles. There have been several previous studies on the detection of road lane markings …

Systems and methods for facilitating communication with autonomous vehicles are provided.
In one example embodi ment, a computing system can obtain a first type of sensor data (eg …

In this paper, we introduce a novel road marking benchmark dataset for road marking
detection, addressing the limitations in the existing publicly available datasets such as lack …