Autonomous vehicles: challenges, opportunities, and future implications for transportation policies

SA Bagloee, M Tavana, M Asadi, T Oliver - Journal of modern …, 2016 - Springer
This study investigates the challenges and opportunities pertaining to transportation policies
that may arise as a result of emerging autonomous vehicle (AV) technologies. AV …

Toward automated vehicle teleoperation: Vision, opportunities, and challenges

T Zhang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Recently, vehicle teleoperation (remote driving) has been gaining momentum in the industry
and is playing an important role in helping self-driving cars navigate through tricky situations …

Vehicle trajectory prediction using LSTMs with spatial–temporal attention mechanisms

L Lin, W Li, H Bi, L Qin - IEEE Intelligent Transportation Systems …, 2021 - ieeexplore.ieee.org
Accurate vehicle trajectory prediction can benefit a variety of intelligent transportation system
applications ranging from traffic simulations to driver assistance. The need for this ability is …

Simultaneous localization and mapping: A survey of current trends in autonomous driving

G Bresson, Z Alsayed, L Yu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose a survey of the Simultaneous Localization And Mapping (SLAM)
field when considering the recent evolution of autonomous driving. The growing interest …

Homerobot: Open-vocabulary mobile manipulation

S Yenamandra, A Ramachandran, K Yadav… - arXiv preprint arXiv …, 2023 - arxiv.org
HomeRobot (noun): An affordable compliant robot that navigates homes and manipulates a
wide range of objects in order to complete everyday tasks. Open-Vocabulary Mobile …

Software engineering for self-adaptive systems: A second research roadmap

R De Lemos, H Giese, HA Müller, M Shaw… - Software Engineering for …, 2013 - Springer
The goal of this roadmap paper is to summarize the state-of-the-art and identify research
challenges when developing, deploying and managing self-adaptive software systems …

{SAVIOR}: Securing autonomous vehicles with robust physical invariants

R Quinonez, J Giraldo, L Salazar, E Bauman… - 29th USENIX security …, 2020 - usenix.org
Autonomous Vehicles (AVs), including aerial, sea, and ground vehicles, assess their
environment with a variety of sensors and actuators that allow them to perform specific tasks …

Learning inverse kinodynamics for accurate high-speed off-road navigation on unstructured terrain

X Xiao, J Biswas, P Stone - IEEE Robotics and Automation …, 2021 - ieeexplore.ieee.org
This letter presents a learning-based approach to consider the effect of unobservable world
states in kinodynamic motion planning in order to enable accurate high-speed off-road …

LeGO-LOAM-SC: An improved simultaneous localization and mapping method fusing LeGO-LOAM and scan context for underground coalmine

G Xue, J Wei, R Li, J Cheng - Sensors, 2022 - mdpi.com
Simultaneous localization and mapping (SLAM) is one of the key technologies for coal mine
underground operation vehicles to build complex environment maps and positioning and to …

Autonomous robot navigation in highly populated pedestrian zones

R Kümmerle, M Ruhnke, B Steder… - Journal of Field …, 2015 - Wiley Online Library
In the past, there has been a tremendous amount of progress in the area of autonomous
robot navigation, and a large variety of robots have been developed that demonstrated …