Trajectory planning for autonomous vehicles using hierarchical reinforcement learning
Planning safe trajectories under uncertain and dynamic conditions makes the autonomous
driving problem significantly complex. Current heuristic-based algorithms such as the slot …
driving problem significantly complex. Current heuristic-based algorithms such as the slot …
Exploring data-driven models for spatiotemporally local classification of Alfvén eigenmodes
Alfvén eigenmodes (AEs) are an important and complex class of plasma dynamics
commonly observed in tokamaks and other plasma devices. In this work, we manually …
commonly observed in tokamaks and other plasma devices. In this work, we manually …
Behavior planning at urban intersections through hierarchical reinforcement learning
For autonomous vehicles, effective behavior planning is crucial to ensure safety of the ego
car. In many urban scenarios, it is hard to create sufficiently general heuristic rules …
car. In many urban scenarios, it is hard to create sufficiently general heuristic rules …
Hyperparameter optimization of LSTM based Driver's aggressive behavior prediction model
DD Hema, KA Kumar - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Traffic safety in the area of Intelligent Transportation System can be improved by predicting
driver behavior automatically. Aggressive driving is significant indicator for collision. Several …
driver behavior automatically. Aggressive driving is significant indicator for collision. Several …
[PDF][PDF] Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors
L Orlov-Savko, A Jain, GM Gremillion… - Proceedings of the 21st …, 2022 - ifaamas.org
Autonomous agents operating in the real world often need to interact with other agents to
accomplish their tasks. For such agents, the ability to model behavior of other agents–both …
accomplish their tasks. For such agents, the ability to model behavior of other agents–both …
An optimized intelligent driver's aggressive behaviour prediction model using GA-LSTM
DD Hema, KA Kumar - International Journal of Performability …, 2021 - ijpe-online.com
Aggressive driving is a significant contributor to traffic accidents. One of the major
applications in the area of intelligent transportation systems is identification of aggressive …
applications in the area of intelligent transportation systems is identification of aggressive …
Reinforcement learning for behavior planning of autonomous vehicles in urban scenarios
Z Qiao - 2021 - search.proquest.com
How autonomous vehicles and human drivers share public transportation systems is an
important problem, as fully automatic transportation environments are still a long way off …
important problem, as fully automatic transportation environments are still a long way off …
Demystifying Artificial Intelligence based Behavior Prediction of Traffic Actors for Autonomous Vehicle-A Bibliometric Analysis of Trends and Techniques
Background: The purpose of this study is to examine, using bibliometric methods, the work
done on behavior prediction of traffic actors for autonomous vehicles using various artificial …
done on behavior prediction of traffic actors for autonomous vehicles using various artificial …