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

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 …

Autonomous driving requires an accurate and fast 3D perception system that includes 3D
object detection, tracking, and segmentation. Although recent low-cost camera-based …

The fusion of multimodal sensor streams, such as camera, lidar, and radar measurements,
plays a critical role in object detection for autonomous vehicles, which base their decision …

We present PointFusion, a generic 3D object detection method that leverages both image
and 3D point cloud information. Unlike existing methods that either use multi-stage pipelines …

Robust and efficient vehicle detection is an important task of environment perception of
intelligent vehicles, which directly affects the behavior decision-making and motion planning …

Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …

Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Autonomous vehicles are heavily reliant upon their sensors to perfect the perception of
surrounding environments, however, with the current state of technology, the data which a …