Set-based prediction of traffic participants considering occlusions and traffic rules
M Koschi, M Althoff - IEEE Transactions on Intelligent Vehicles, 2020 - ieeexplore.ieee.org
Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …
motions do not result in a collision with other traffic participants. This is a major challenge in …
Runtime assurance for safety-critical systems: An introduction to safety filtering approaches for complex control systems
More than three miles above the Arizona desert, an F-16 student pilot experienced a gravity-
induced loss of consciousness, passing out while turning at nearly 9Gs (nine times the force …
induced loss of consciousness, passing out while turning at nearly 9Gs (nine times the force …
SOTER: a runtime assurance framework for programming safe robotics systems
The recent drive towards achieving greater autonomy and intelligence in robotics has led to
high levels of complexity. Autonomous robots increasingly depend on third-party off-the …
high levels of complexity. Autonomous robots increasingly depend on third-party off-the …
Potential risk assessment for safe driving of autonomous vehicles under occluded vision
D Wang, W Fu, Q Song, J Zhou - Scientific reports, 2022 - nature.com
This study aimed to explore how autonomous vehicles can predict potential risks and
efficiently pass through the dangerous interaction areas in the face of occluded scenes or …
efficiently pass through the dangerous interaction areas in the face of occluded scenes or …
Mobile robotics and 3D printing: addressing challenges in path planning and scalability
ABSTRACT Mobile Additive Manufacturing (MAM) systems are transforming large-scale
fabrication across various industries, particularly in building and construction. This review …
fabrication across various industries, particularly in building and construction. This review …
Run-time optimization for learned controllers through quantitative games
A controller is a device that interacts with a plant. At each time point, it reads the plant's state
and issues commands with the goal that the plant operates optimally. Constructing optimal …
and issues commands with the goal that the plant operates optimally. Constructing optimal …
Path planning of mobile robot in dynamic environment: Fuzzy artificial potential field and extensible neural network
D Wang, S Chen, Y Zhang, L Liu - Artificial Life and Robotics, 2021 - Springer
Path planning in dynamic environment is a great challenge for mobile robot. A large number
of approaches have been used to deal with it. Since the neural network algorithm has the …
of approaches have been used to deal with it. Since the neural network algorithm has the …
Runtime safety assurance for learning-enabled control of autonomous driving vehicles
Providing safety guarantees for Autonomous Vehicle (AV) systems with machine-learning
based controllers remains a challenging issue. In this work, we propose Simplex-Drive, a …
based controllers remains a challenging issue. In this work, we propose Simplex-Drive, a …
What lies in the shadows? Safe and computation-aware motion planning for autonomous vehicles using intent-aware dynamic shadow regions
One of the challenges of developing autonomous vehicles is planning in an inhabited
environment under sensing uncertainty as well as limited perception and computational …
environment under sensing uncertainty as well as limited perception and computational …
Real-time collision-free navigation of multiple UAVs based on bounding boxes
P Sánchez, R Casado, A Bermúdez - Electronics, 2020 - mdpi.com
Predictably, future urban airspaces will be crowded with autonomous unmanned aerial
vehicles (UAVs) offering different services to the population. One of the main challenges in …
vehicles (UAVs) offering different services to the population. One of the main challenges in …