Object detection with high accuracy and fast inference speed based on camera sensors is
important for autonomous driving. This paper develops a lightweight object detection …

The use of object detection algorithms has become extremely important in autonomous
vehicles. Object detection at high accuracy and a fast inference speed is essential for safe …

The perception system in autonomous driving mainly uses object detection algorithms to
obtain the distribution of obstacles for recognition and analysis. Current object detection …

In auto-driving cars, incorrect object detection can lead to serious accidents, so
highprecision object detection is the key to automatic driving. This paper improves on the …

With the rapid advancements in the field of autonomous driving, the need for faster and more
accurate object detection frameworks has become a necessity. Many recent deep learning …

Vehicle detection is a crucial task for autonomous driving and demands high accuracy and
real‐time speed. Considering that the current deep learning object detection model size is …

Object detection is an important part of autonomous driving technology. To ensure the safe
running of vehicles at high speed, real‐time and accurate detection of all the objects on the …

Object detection in autonomous driving scenarios has become a popular task in recent
years. Due to the high-speed movement of vehicles and the complex changes in the …

Vehicle detection is one of the most challenging research works on environment perception
for intelligent vehicle. The commonly used object detection network is too large and can only …

The YOLOv4 network is widely used in object detection tasks as a representative network,
but there is also the problem that the complexity of the network model affects the detection …