[HTML][HTML] Devil in the details: Systematic review of TOR signals in automated driving with a generic classification framework
RJ Jansen, AM Tinga, R de Zwart… - … research part F: traffic …, 2022 - Elsevier
Background Meta studies on factors contributing to take-over performance did not include
the design of take-over request (TOR) signals, other than the modality at which TORs are …
the design of take-over request (TOR) signals, other than the modality at which TORs are …
Individual differences and expectations of automated vehicles
Despite the benefits of automated vehicles (AVs), there are still barriers to their widespread
adoption. Expectations about AVs have been identified as one of the most important factors …
adoption. Expectations about AVs have been identified as one of the most important factors …
Predicting driver fatigue in monotonous automated driving with explanation using GPBoost and SHAP
Research indicates that monotonous automated driving increases the incidence of fatigued
driving. Although many prediction models based on advanced machine learning techniques …
driving. Although many prediction models based on advanced machine learning techniques …
Road safety under the environment of intelligent connected vehicles
Abstract The emergence of Intelligent Connected Vehicles (ICVs) is expected to drastically
change various fields in the transportation system—especially traffic safety of road users …
change various fields in the transportation system—especially traffic safety of road users …
Take-over requests after waking in autonomous vehicles
Autonomous vehicles (AVs) enable drivers to devote their primary attention to non-driving-
related tasks (NDRTs). Consequently, AVs must provide intelligibility services appropriate to …
related tasks (NDRTs). Consequently, AVs must provide intelligibility services appropriate to …
Disengagement cause-and-effect relationships extraction using an nlp pipeline
The advancement in machine learning and artificial intelligence promotes the testing and
deployment of autonomous vehicles (AVs) on public roads. The California Department of …
deployment of autonomous vehicles (AVs) on public roads. The California Department of …
Driver take-over behaviour study based on gaze focalization and vehicle data in CARLA simulator
Autonomous vehicles are the near future of the automobile industry. However, until they
reach Level 5, humans and cars will share this intermediate future. Therefore, studying the …
reach Level 5, humans and cars will share this intermediate future. Therefore, studying the …
Incorporating gaze behavior using joint embedding with scene context for driver takeover detection
Despite the recent advancement in driver assistance systems, most existing solutions and
partial automation systems such as SAE Level 2 driving automation systems assume that the …
partial automation systems such as SAE Level 2 driving automation systems assume that the …
Can shared control improve overtaking performance? Combining human and automation strengths for a safer maneuver
The Shared Control (SC) cooperation scheme, where the driver and automated driving
system control the vehicle together, has been gaining attention through the years as a …
system control the vehicle together, has been gaining attention through the years as a …
Exploring Driver Physiological Response During Level 3 Conditional Driving Automation
Nearly half of new vehicle production is expected to be autonomous, SAE International
automation Level 5, by 2045, potentially improving safety, lessening traffic congestion, and …
automation Level 5, by 2045, potentially improving safety, lessening traffic congestion, and …