Perception system design is a vital step in the development of an autonomous vehicle (AV).
With the vast selection of available off-the-shelf schemes and seemingly endless options of …

Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

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 …

In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

Perception is a vital part of driving. Every year, the loss in visibility due to snow, fog, and rain
causes serious accidents worldwide. Therefore, it is important to be aware of the impact of …

We address the problem of image search on a very large scale, where three constraints
have to be considered jointly: the accuracy of the search, its efficiency, and the memory …

Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

Every revolution promises a spirit of optimism and significant changes. Connected and
automated vehicles (CAVs) are coming to our roadways. CAVs have a crucial role to play in …

In this paper, we propose to learn a deep fitting degree scoring network for monocular 3D
object detection, which aims to score fitting degree between proposals and object …