A survey of localization methods for autonomous vehicles in highway scenarios
In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …
Autonomous vehicular overtaking maneuver: A survey and taxonomy
Autonomous vehicles (AVs) are the next-generation driver-less vehicular entities with
advanced technologies. Overtaking is an important and challenging maneuver that needs to …
advanced technologies. Overtaking is an important and challenging maneuver that needs to …
SINADRA: towards a framework for assurable situation-aware dynamic risk assessment of autonomous vehicles
Assuring an adequate level of safety is the key challenge for the approval of autonomous
vehicles (AV). The full performance potential of AV cannot be exploited at present because …
vehicles (AV). The full performance potential of AV cannot be exploited at present because …
Towards continuous safety assurance for autonomous systems
P Schleiss, F Carella, I Kurzidem - 2022 6th International …, 2022 - ieeexplore.ieee.org
Ensuring the safety of autonomous systems over time and in light of unforeseeable changes
is an unsolved task. This work outlines a continuous assurance strategy to ensure the safe …
is an unsolved task. This work outlines a continuous assurance strategy to ensure the safe …
Safe autonomous overtaking maneuver based on inter-vehicular distance prediction and multi-level bayesian decision-making
D Iberraken, L Adouane, D Denis - 2018 21st International …, 2018 - ieeexplore.ieee.org
This paper describes the design of an overall Multi-Controller Architecture (MCA) for safe
automated driving, under uncertainties in highway environment. This MCA combines the …
automated driving, under uncertainties in highway environment. This MCA combines the …
RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation
Z Li, A Zhou - Applied Intelligence, 2023 - Springer
Existing deep reinforcement learning-based mobile robot navigation relies largely on single-
modal visual perception to perform local-scale navigation. However, multimodal visual …
modal visual perception to perform local-scale navigation. However, multimodal visual …
End-to-end probabilistic ego-vehicle localization framework
Locating the vehicle in its road is a critical part of any autonomous vehicle system and has
been subject to different research topics. In most works presented in the literature, ego …
been subject to different research topics. In most works presented in the literature, ego …
Reliable risk management for autonomous vehicles based on sequential bayesian decision networks and dynamic inter-vehicular assessment
D Iberraken, L Adouane, D Denis - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
Guaranteeing the safety of an autonomous vehicle (AV) is a challenging task, especially if
the perceived environment is highly uncertain and other road users deviate from their …
the perceived environment is highly uncertain and other road users deviate from their …
An emergency operation strategy and motion planning method for autonomous vehicle in emergency scenarios
Ensuring driving operational safety in emergency scenarios is paramount for autonomous
vehicles to prevent accidents, particularly when vehicle motion completely depends on …
vehicles to prevent accidents, particularly when vehicle motion completely depends on …
DTTCNet: Time-to-Collision Estimation With Autonomous Emergency Braking Using Multi-Scale Transformer Network
The rapid advancement of autonomous driving technologies has brought the significance of
Autonomous Emergency Braking (AEB) systems, which are paramount in mitigating collision …
Autonomous Emergency Braking (AEB) systems, which are paramount in mitigating collision …