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 …

Autonomous driving technology pledges safety, convenience, and energy efficiency. Its
challenges include the unknown intentions of other road users: communication between …

In this paper, we propose a new unsupervised domain adaptation approach called
Collaborative and Adversarial Network (CAN) through domain-collaborative and domain …

Although accurate and comprehensive maps are indispensable for highly automated
driving, especially in complex urban scenarios, there are hardly any publications in which …

Robot navigation is an indispensable component of any mobile service robot. Many path
planning algorithms generate a path which has many sharp or angular turns. Such paths are …

Most of the current successful object detection approaches are based on a class of deep
learning models called Convolutional Neural Networks (ConvNets). While most existing …

Most existing approaches to autonomous driving fall into one of two categories: modular
pipelines, that build an extensive model of the environment, and imitation learning …

The aim of this work is to integrate and analyze the performance of a path planning method
based on Time Elastic Bands (TEB) in real research platform based on Ackermann model …

Intelligent connected vehicles (ICVs) are believed to change people's life in the near future
by making the transportation safer, cleaner and more comfortable. Although many …

It is apparent that one cannot rely solely on physical test drives for ensuring the correct
functionality of autonomous vehicles. Since physical test drives are costly and time …