Perception is an essential task for self-driving cars, but most perception tasks are usually
handled independently. We propose a unified neural network named DLT-Net to detect …

Thermal infrared (TIR) image has proven effectiveness in providing temperature cues to the
RGB features for multispectral pedestrian detection. Most existing methods directly inject the …

Pedestrian crossing prediction is a particularly important task for intelligent transportation
systems, accurate prediction can guarantee the safety of pedestrians and driving comfort of …

Eliminating the radial lens distortion of an image is a crucial preprocessing step for many
computer vision applications. This paper explores a simple yet effective pipeline for radial …

The development in the field of autonomous driving goes hand in hand with ever new
developments in the field of image processing and machine learning methods. In order to …

We provide a summary over architectural approaches that can be used to construct
dependable learning-enabled autonomous systems, with a focus on automated driving. We …

Fish-eye cameras have become essential sensors in intelligent vehicles. Due to its unique
projection principle, a fish-eye camera can provide a large field of view. Benefiting from this …

The fish-eye camera has become an indispensable sensor in autonomous driving. Due to
the unique projection principle of the fish-eye camera, it provides a large field of view (FoV) …

In order to improve the accuracy of pedestrian detection, this paper proposes a target
detection algorithm based on yolov3 to detect the missing detection and small-size …

Autonomous vehicles have been a recent trend and active research area from the onset of
machine learning and deep learning algorithms. Computer vision and deep learning …