The accurate detection and classification of moving objects is a critical aspect of advanced
driver assistance systems. We believe that by including the object classification from multiple …

A self-driving car, to be deployed in real-world driving environments, must be capable of
reliably detecting and effectively tracking of nearby moving objects. This paper presents our …

Environment perception, one of the most fundamental and challenging problems of
autonomous vehicles (AVs), has been widely studied in recent decades. Due to inferior fault …

Obtaining the accurate and real-time state of surrounding objects is essential for automated
vehicle planning and decision-making to ensure safe driving. In complex traffic scenarios …

Road situation analysis in Interactive Intelligent Driver-Assistance and Safety Warning (I 2
DASW) systems involves estimation and prediction of the position and size of various on …

This paper presents Fade, a vehicle detection and tracking system featuring monocular color
vision and radar data fusion. Its main originality resides in its low-level fusion system. At …

In this paper, an automated driving system (ADS) data acquisition and analytics platform for
vehicle trajectory extraction, reconstruction, and evaluation based on connected automated …

Traffic object detection and recognition systems play an essential role in Advanced Driver
Assistance Systems (ADAS) and Autonomous Vehicles (AV). In this research, we focus on …

Object detection and tracking play a fundamental role in enabling Cooperative Driving
Automation (CDA), which is regarded as the revolutionary solution to addressing safety …

Multi-object detection and multi-object-tracking in diverse driving situations is the main
challenge in autonomous vehicles. Vehicle manufacturers and research organizations are …