[HTML][HTML] Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions
Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …
research because of its multi-faceted advantages that includes improved safety, reduced …
Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey
Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …
industrial research because of various advantages such as safety improvement, lower …
Human-aware robot navigation: A survey
Navigation is a basic skill for autonomous robots. In the last years human–robot interaction
has become an important research field that spans all of the robot capabilities including …
has become an important research field that spans all of the robot capabilities including …
Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns
This paper presents a real-time path planning algorithm that guarantees probabilistic
feasibility for autonomous robots with uncertain dynamics operating amidst one or more …
feasibility for autonomous robots with uncertain dynamics operating amidst one or more …
Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation
P Trautman, J Ma, RM Murray… - … International Journal of …, 2015 - journals.sagepub.com
We consider the problem of navigating a mobile robot through dense human crowds. We
begin by exploring a fundamental impediment to classical motion planning algorithms called …
begin by exploring a fundamental impediment to classical motion planning algorithms called …
Robust path planner for autonomous vehicles on roads with large curvature
Y Sun, D Ren, S Lian, S Fu, X Teng… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Path planning in real road traffic refers to the navigation of an autonomous vehicle through
an obstacle-filled environment. It is crucial for the comfort, safety, and efficiency of the …
an obstacle-filled environment. It is crucial for the comfort, safety, and efficiency of the …
Data-driven zonotopic approximation for n-dimensional probabilistic geofencing
Advanced air mobility is a promising way of metropolitan air transportation. One critical
concern that arises is how to ensure operational safety in high-dense, dynamic, and …
concern that arises is how to ensure operational safety in high-dense, dynamic, and …
Driver intention-based vehicle threat assessment using random forests and particle filtering
One of the key technologies to safely operate self-driving vehicles is the threat assessment
of other vehicles in the neighborhood of a self-driving vehicle. Threat assessment algorithms …
of other vehicles in the neighborhood of a self-driving vehicle. Threat assessment algorithms …
A survey on smooth path generation techniques for nonholonomic autonomous vehicle systems
Autonomous vehicles (AVs) are at the heart of academic and industry research because of
various advantages such as safety improvement, lower energy and fuel consumption …
various advantages such as safety improvement, lower energy and fuel consumption …
Efficient box approximation for data-driven probabilistic geofencing
Advanced Air Mobility (AAM) using electrical vertical take-off and landing (eVTOL) aircraft is
an emerging way of air transportation within metropolitan areas. A key challenge for the …
an emerging way of air transportation within metropolitan areas. A key challenge for the …