Decision-Making in Fallback Scenarios for Autonomous Vehicles: Deep Reinforcement Learning Approach
This paper proposes a decision-making algorithm based on deep reinforcement learning to
support fallback techniques in autonomous vehicles. The fallback technique attempts to …
support fallback techniques in autonomous vehicles. The fallback technique attempts to …
Interaction-Aware Motion Planning for Automated Vehicles
C Burger - 2023 - publikationen.bibliothek.kit.edu
Die Bewegungsplanung für automatisierte Fahrzeuge (AVs) in gemischtem Verkehr ist eine
herausfordernde Aufgabe. Hierbei bezeichnet gemischter Verkehr, Verkehr bestehend aus …
herausfordernde Aufgabe. Hierbei bezeichnet gemischter Verkehr, Verkehr bestehend aus …
Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic
Connected automated vehicles (CAV), which incorporate vehicle-to-vehicle (V2V)
communication into their motion planning, are expected to provide a wide range of benefits …
communication into their motion planning, are expected to provide a wide range of benefits …
Planning Mobile Robot Behavior in an Uncertain Multi-agent Environment
A Sultanova, İ Abasova, Z Gaffarova - Proceedings of Azerbaijan …, 2023 - papers.ssrn.com
The paper proposes an approach for safe navigation when changing lanes in a road
scenario. The aim of this approach is to create the baseline value of the decision making …
scenario. The aim of this approach is to create the baseline value of the decision making …
An Integrated Approach to Optimal Merging Sequence Generation and Trajectory Planning of Connected Automated Vehicles for Freeway On-Ramp Merging Sections
Intensive interactions among vehicles at freeway on-ramp merging areas lead to congestion
and accidents. The emergence of connected automated vehicles (CAVs) has shown great …
and accidents. The emergence of connected automated vehicles (CAVs) has shown great …