Autonomous vehicles rely on their perception systems to acquire information about their
immediate surroundings. It is necessary to detect the presence of other vehicles …

Nowadays, and more than a decade after the first steps towards autonomous driving, we
keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being …

Radars and lidars are two primary sensor modalities complementing optical cameras in
active safety and autonomous driving applications. Radars and lidars operate at …

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 …

In this work, we present LIBRE: LiDAR Benchmarking and Reference, a first-of-its-kind
dataset featuring 10 different LiDAR sensors, covering a range of manufacturers, models …

Automated vehicle technology has recently become reliant on 3D LiDAR sensing for
perception tasks such as mapping, localization and object detection. This has led to a rapid …

In the last decade, Light Detection and Ranging (LIDAR) became a leading technology of
detailed and reliable 3D environment perception. This paper gives an overview of the wide …

Recent technological advancements in computer vision algorithms and data acquisition
devices have greatly facilitated the research and applications of deep learning-based traffic …

In Autonomous Driving (AD), detection and tracking of obstacles on the roads is a critical
task. Deep-learning based methods using annotated LiDAR data have been the most widely …

Lidar imaging systems are one of the hottest topics in the optronics industry. The need to
sense the surroundings of every autonomous vehicle has pushed forward a race dedicated …