Weather and road geometry impact on longitudinal driving behavior: Exploratory analysis using an empirically supported acceleration modeling framework

SH Hamdar, L Qin, A Talebpour - Transportation research part C: emerging …, 2016 - Elsevier
… distinctive driving styles were identified in their studies: laggers and non-laggers driving
styles… , could introduce more uncertainties that lead to more fluctuations in driving speed (higher …

Control-style choices and performance impacts: How should senior IS managers enact control over uncertain IS projects?

M Wiener, WA Cram, U Remus, M Mähring - Decision Support Systems, 2023 - Elsevier
… ,69], the project's internal or external environment [eg, 32,74], or the market served by a
project [eg, 29]; whereas the latter pertains to factors driving uncertainty, such as environmental/…

Prediction-uncertainty-aware threat detection for adas: A case study on lane-keeping assistance

J Dahl, GR de Campos… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
… In this work, four threat-detection methods using uncertainty … The methods use different
strategies for leveraging uncertaintydriver’s lane-change intent considering driving style and …

Context-aware sensor uncertainty estimation for autonomous vehicles

M Alharbi, HA Karimi - Vehicles, 2021 - mdpi.com
environments. The design of our approach incorporates both epistemic uncertainties, which
… positions are then utilized to infer the sensor uncertainty in the current driving environment. …

[引用][C] End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation.

L Tai, P Yun, Y Chen, C Liu, H Ye, M Liu - CoRR, 2019

A dynamic programming approach for energy management in hybrid electric vehicles under uncertain driving conditions

J Deng, M Tipaldi, L Glielmo… - International Journal of …, 2024 - Taylor & Francis
… The total driving distance for each cycle is the same, while the speed profiles can vary due
to disturbances such as traffic, driving styles, etc. For the sake of simplicity, the road grade is …

Uncertainty-aware model-based offline reinforcement learning for automated driving

C Diehl, TS Sievernich, M Krüger… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
… parameterized with different driving styles and perform random maneuvers at the intersection.
This randomization makes the scenario challenging, as planning for uncertain multi-agent …

Using evidential occupancy grid for vehicle trajectory planning under uncertainty with tentacles

H Mouhagir, V Cherfaoui, R Talj… - 2017 IEEE 20th …, 2017 - ieeexplore.ieee.org
… Autonomous driving requires decision making in dynamic and uncertain environments. The
… In this work, the goal is to manage uncertainties of the environment for trajectory planning …

Unsupervised self-driving attention prediction via uncertainty mining and knowledge embedding

P Zhu, M Qi, X Li, W Li, H Ma - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
… self-driving attention by uncertainty modeling and driving knowledge integration. Our approach’s
Uncertainty … the domain gap by incorporating driving knowledge to adaptively refine the …

Effects of uncertain trajectory prediction visualization in highly automated vehicles on trust, situation awareness, and cognitive load

M Colley, O Speidel, J Strohbeck, JO Rixen… - Proceedings of the …, 2024 - dl.acm.org
… the findings to real-world driving conditions. As we also drove manually during the video
recording for the study with realistic footage, the driving style was actually not determined by the …