Forward search optimization and subgoal-based hybrid path planning to shorten and smooth global path for mobile robots
H Li, T Zhao, S Dian - Knowledge-based systems, 2022 - Elsevier
The characteristics of the path in length, smoothness, and safety are critical to the behavior
of autonomous mobile robots. However, in searching-based global path planning, the …
of autonomous mobile robots. However, in searching-based global path planning, the …
[HTML][HTML] Power output forecasting of solar photovoltaic plant using LSTM
Renewable energy sources are gaining popularity, where solar photovolaics (PV) being the
most preferred option due to its cleanliness, affordability, and abundance. The energy output …
most preferred option due to its cleanliness, affordability, and abundance. The energy output …
Kernelized convolutional transformer network based driver behavior estimation for conflict resolution at unsignalized roundabout
The modeling of driver behavior plays an essential role in developing Advanced Driver
Assistance Systems (ADAS) to support the driver in various complex driving scenarios. The …
Assistance Systems (ADAS) to support the driver in various complex driving scenarios. The …
Autonomous driving: A survey of technological gaps using google scholar and web of science trend analysis
Autonomous Driving (AD) introduces dramatic changes to the way we travel. This emerging
technology has the potential to impact the transportation sector across a wide array of …
technology has the potential to impact the transportation sector across a wide array of …
Transformer based composite network for autonomous driving trajectory prediction on multi-lane highways
In order to navigate through complex traffic scenarios safely and efficiently, the autonomous
vehicle (AV) predicts its own behavior and future trajectory based on the predicted …
vehicle (AV) predicts its own behavior and future trajectory based on the predicted …
Path planning and trajectory tracking control for two-wheel mobile robot
The mobile robot is a system that can work in various environments. This means that the
robot must be able to navigate without delay and avoid any obstacles placed within the …
robot must be able to navigate without delay and avoid any obstacles placed within the …
Highway discretionary lane changing behavior recognition using continuous and discrete hidden markov model
Lane changing behavior is one of the most essential and complex driving attributes. The
lack of proper lane changing behavior can lead to collisions and traffic congestion. During …
lack of proper lane changing behavior can lead to collisions and traffic congestion. During …
Autonomous vehicle trajectory prediction on multi-lane highways using attention based model
The autonomous vehicle anticipates its own behaviour and future trajectory based on the
expected trajectories of surrounding vehicles to prevent a potential collision in order to …
expected trajectories of surrounding vehicles to prevent a potential collision in order to …
A review of autonomous road vehicle integrated approaches to an emergency obstacle avoidance maneuver
E Lowe, L Guvenç - arXiv preprint arXiv:2105.09446, 2021 - arxiv.org
As passenger vehicle technologies have advanced, so have their capabilities to avoid
obstacles, especially with developments in tires, suspensions, steering, as well as safety …
obstacles, especially with developments in tires, suspensions, steering, as well as safety …
Dynamic Planning of Optimally Safe Lane-change Trajectory for Autonomous Driving on Multi-lane Highways Using a Fuzzy Logic–based Collision Estimator
The collision avoidance system in an autonomous vehicle, intended to address traffic safety
issues, has a crucial function called collision estimation. It accomplishes this by identifying …
issues, has a crucial function called collision estimation. It accomplishes this by identifying …