Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality [PDF]
Social Science Research Network, 2022 With the level of automation increases in vehicles, such as conditional and highly automated vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in unexpected driving scenarios.
Feng Zhou
semanticscholar +1 more source
A Review on Scene Prediction for Automated Driving
Physics, 2022 Towards the aim of mastering level 5, a fully automated vehicle needs to be equipped with sensors for a 360∘ surround perception of the environment. In addition to this, it is required to anticipate plausible evolutions of the traffic scene such that it ...
Anne Stockem Novo +3 more
doaj +1 more source
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving
, 2020 Behavior and motion planning play an important role in automated driving. Traditionally, behavior planners instruct local motion planners with predefined behaviors.
Großjohann, Simon +4 more
core +1 more source
Decision-Making for Automated Vehicles Using a Hierarchical Behavior-Based Arbitration Scheme
, 2020 Behavior planning and decision-making are some of the biggest challenges for highly automated systems. A fully automated vehicle (AV) is confronted with numerous tactical and strategical choices.
Burger, Christoph +2 more
core +1 more source
Editorial: Automated Driving [PDF]
International Journal of Intelligent Transportation Systems Research, 2014 This issue of the International Journal of Intelligent Transportation Research publishes six papers on automated driving. The objective of this issue is to review current research and development studies on automated driving. Six papers on automatic driving, four of which are related to the research on the Energy Intelligent Transportation System (ITS)
Yoshihiro Suda, Kimihiko Nakano
openaire +1 more source
Neural Network Model Predictive Motion Control Applied to Automated Driving With Unknown Friction
IEEE Transactions on Control Systems Technology, 2022 Many innovative applications of vehicle control involve trajectory following while avoiding collisions, respecting actuator and dynamic limits, and using complex nonlinear dynamics.
Nathan A. Spielberg +2 more
semanticscholar +1 more source
Developing an Adaptive Strategy for Connected Eco-Driving Under Uncertain Traffic and Signal Conditions [PDF]
, 2020 The Eco-Approach and Departure (EAD) application has been proved to be environmentally efficient for a Connected and Automated Vehicles (CAVs) system. In the real-world traffic, traffic conditions and signal timings are usually dynamic and uncertain due ...
Bai, Zhengwei +3 more
core +2 more sources
Accident Analysis and Prevention, 2022 Drivers of partially automated vehicles (PAVs) are relieved from parts of the driving tasks allocated to the automated driver. Ironically, these drivers are obligated to continuously monitor the driving task at all times and keep their attention on the ...
Noa Zangi +4 more
semanticscholar +1 more source
Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios
IEEE Access, 2021 The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traffic ...
Erwin de Gelder +5 more
doaj +1 more source
The Impact of Situational Complexity and Familiarity on Takeover Quality in Uncritical Highly Automated Driving Scenarios [PDF]
, 2020 In the development of highly automated driving systems (L3 and 4), much research has been done on the subject of driver takeover. Strong focus has been placed on the takeover quality.
Russwinkel, Nele +2 more
core +1 more source