Cooperative perception algorithms based on fusing sensing data across multiple connected
automated vehicles (CAVs) have shown promising performance to enhance the existing …

Motion forecasting plays a pivotal role in autonomous driving systems, enabling vehicles to
execute collision warnings and rational local-path planning based on predictions of the …

In the era of future mobility within Transportation 5.0, autonomy and cooperation across all
road users and smart infrastructure stand as the key features to enhance transportation …

In recent intelligent transportation systems (ITS), it is important to recognize pedestrians and
avoid collisions. Various sensors are used to detect pedestrians, and some research on …

From the perspective of artificial intelligence evaluation, the need to discover and explain
the potential shortness of the evaluated intelligent algorithms/systems as well as the need to …

This paper introduces an innovative hybrid approach for estimating vehicle lateral velocity,
merging mechanism-based methods with a Long Short-Term Memory (LSTM) neural …

Accurate estimation of current position and attitude of a vehicle is one of the key
technologies for autonomous driving. Due to the defect of LiDAR intrinsic parameter and the …

Multi-object tracking (MOT) is an essential technique for navigation in autonomous driving.
In tracking-by-detection systems, biases, false positives, and misses, which are referred to …

It is a generic paradigm to treat all samples equally in 3D object detection. Although some
works focus on discriminating samples in the training process of object detectors, the issue …