Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-Based Convolutional Neural Networks [PDF]
IEEE Transactions on Intelligent Vehicles, 2021 Lane change (LC) is one of the safety-critical manoeuvres in highway driving according to various road accident records. Thus, reliably predicting such manoeuvre in advance is critical for the safe and comfortable operation of automated driving systems ...
Sajjad Mozaffari +3 more
semanticscholar +1 more source
Adjustable automation and manoeuvre control in automated driving [PDF]
, 2019 Current implementations of automated driving rely on the driver to monitor the vehicle and be ready to assume control in situations that the automation cannot successfully manage.
Höger, Rainer +3 more
core +1 more source
A Review of Testing Object-Based Environment Perception for Safe Automated Driving [PDF]
Automotive Innovation, 2021 Safety assurance of automated driving systems must consider uncertain environment perception. This paper reviews literature addressing how perception testing is realized as part of safety assurance.
Michael Hoss +2 more
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
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
Predicting Driver Takeover Time in Conditionally Automated Driving [PDF]
IEEE transactions on intelligent transportation systems (Print), 2021 It is extremely important to ensure a safe takeover transition in conditionally automated driving. One of the critical factors that quantifies the safe takeover transition is takeover time.
Jackie Ayoub +3 more
semanticscholar +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
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
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