Deep learning with attention mechanism for predicting driver intention at intersection
In this paper, a driver's intention prediction near a road intersection is proposed. Our
approach uses a deep bidirectional Long Short-Term Memory (LSTM) with an attention …
approach uses a deep bidirectional Long Short-Term Memory (LSTM) with an attention …
Toward driver intention prediction for intelligent vehicles: A deep learning approach
MN Azadani, A Boukerche - 2021 IEEE 46th Conference on …, 2021 - ieeexplore.ieee.org
High-level scene understanding and situational awareness are fundamental for autonomous
vehicles before being widely used on public roads in a thoroughly efficient and safe manner …
vehicles before being widely used on public roads in a thoroughly efficient and safe manner …
Driving maneuvers prediction based on cognition-driven and data-driven method
Advanced Driver Assistance Systems (ADAS) improve driving safety significantly. They alert
drivers from unsafe traffic conditions when a dangerous maneuver appears. Traditional …
drivers from unsafe traffic conditions when a dangerous maneuver appears. Traditional …
Implementation and evaluation of an enhanced intention prediction algorithm for lane-changing scenarios on highway roads
O Laimona, MA Manzour, OM Shehata… - 2020 2nd Novel …, 2020 - ieeexplore.ieee.org
For an autonomous vehicle driving on a public road, the safety of the passengers and the
efficiency of the trip taken are prioritized causing the main function of the autonomous …
efficiency of the trip taken are prioritized causing the main function of the autonomous …
[HTML][HTML] A hybrid approach for turning intention prediction based on time series forecasting and deep learning
H Zhang, R Fu - Sensors, 2020 - mdpi.com
At an intersection with complex traffic flow, the early detection of the intention of drivers in
surrounding vehicles can enable advanced driver assistance systems (ADAS) to warn the …
surrounding vehicles can enable advanced driver assistance systems (ADAS) to warn the …
A hierarchical behavior prediction framework at signalized intersections
Road user behavior prediction is one of the most critical components in trajectory planning
for autonomous driving, especially in urban scenarios involving traffic signals. In this paper …
for autonomous driving, especially in urban scenarios involving traffic signals. In this paper …
End-to-end prediction of driver intention using 3d convolutional neural networks
P Gebert, A Roitberg, M Haurilet… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Despite extraordinary progress of Advanced Driver Assistance Systems (ADAS), an
alarming number of over 1, 2 million people are still fatally injured in traffic accidents every …
alarming number of over 1, 2 million people are still fatally injured in traffic accidents every …
Trajectory prediction of preceding target vehicles based on lane crossing and final points generation model considering driving styles
X Liu, Y Wang, Z Zhou, K Nam, C Wei… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Reliable trajectory prediction of preceding target vehicles (PTVs) is crucial for the planning
and decision making of automated vehicles. However, the future trajectory is affected by the …
and decision making of automated vehicles. However, the future trajectory is affected by the …
Relational recurrent neural networks for vehicle trajectory prediction
K Messaoud, I Yahiaoui… - 2019 IEEE intelligent …, 2019 - ieeexplore.ieee.org
Scene understanding and future motion prediction of surrounding vehicles are crucial to
achieve safe and reliable decision-making and motion planning for autonomous driving in a …
achieve safe and reliable decision-making and motion planning for autonomous driving in a …
Driver intention anticipation based on in-cabin and driving scene monitoring
Numerous car accidents are caused by improper driving maneuvers. Serious injuries are
however avoidable, if such driving maneuvers are detected beforehand and the driver is …
however avoidable, if such driving maneuvers are detected beforehand and the driver is …
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