In this paper, we propose a deep learning based vehicle trajectory prediction technique
which can generate the future trajectory sequence of surrounding vehicles in real time. We …

Automated vehicles and advanced driver-assistance systems require an accurate prediction
of future traffic scene states. The tendency in recent years has been to use deep learning …

Radar presents a promising alternative to lidar and vision in autonomous vehicle
applications, able to detect objects at long range under a variety of weather conditions …

In this paper, we propose a new method for the localization of RFID tags, by deploying off-
the-shelf RFID equipment on a robotic platform. The constructed robot is capable to perform …

Purpose To ensure the safety of electric power supply, it is necessary to inspect substation
equipment. With the dramatic increase in the number of substations, especially indoor …

Visual navigation is of vital importance for autonomous mobile robots. Most existing practical
perception-aware based visual navigation methods generally require prior-constructed …

This paper presents a detailed description of the software architecture that is used in the
autonomous Roborace vehicles by the TUM-Team. The development of the software …

Whether BMW, VW or Google: Almost all leading automobile and technology companies are
researching and developing the multi-stage autonomy of vehicles, which enables a …

With its essential role in achieving full autonomy of robot navigation, place recognition has
been widely studied with various approaches. Recently, numerous point cloud-based …

Mobile robots are intelligent machines that can move and perform tasks in different
environments. The key factor enabling the autonomy of mobile robots lies in the reliability …