Vehicle detection is one of the most important environment perception tasks for autonomous
vehicles. The traditional vision‐based vehicle detection methods are not accurate enough …

Autonomous vehicles require accurate, and fast decision-making perception systems to
know the driving environment. The 2D object detection is critical in allowing the perception …

Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

With the improvements in sensor performance (cameras, Lidars) and the application of deep
learning in object detection, autonomous vehicles (AVs) are gradually becoming more …

Target detection plays a key role in the safe driving of autonomous vehicles. At present, most
studies use single sensor to collect obstacle information, but single sensor cannot deal with …

At present, the level of urbanization in China has exceeded 50% and the number of car
ownership has reached 140 million. The consequent problem of traffic congestion has …

With the introduction of concepts such as ubiquitous mapping, mapping-related
technologies are gradually applied in autonomous driving and target recognition. There are …

Abstract In Automatic Driving System (ADS) and Driver Assistance System (DAS), object
detection plays a vital part. Nevertheless, existing real-time detection models for tiny vehicle …

The stable detection and tracking of high-speed vehicles on the road by using LiDAR can
input accurate information for the decision-making module and improve the driving safety of …

With the application of UAVs in intelligent transportation systems, vehicle detection for aerial
images has become a key engineering technology and has academic research significance …