Haptics based multi-level collaborative steering control for automated driving

Article Properties
Abstract
Cite
Nakade, Tomohiro, et al. “Haptics Based Multi-Level Collaborative Steering Control for Automated Driving”. Communications Engineering, vol. 2, no. 1, 2023, https://doi.org/10.1038/s44172-022-00051-2.
Nakade, T., Fuchs, R., Bleuler, H., & Schiffmann, J. (2023). Haptics based multi-level collaborative steering control for automated driving. Communications Engineering, 2(1). https://doi.org/10.1038/s44172-022-00051-2
Nakade, Tomohiro, Robert Fuchs, Hannes Bleuler, and Jürg Schiffmann. “Haptics Based Multi-Level Collaborative Steering Control for Automated Driving”. Communications Engineering 2, no. 1 (2023). https://doi.org/10.1038/s44172-022-00051-2.
Nakade T, Fuchs R, Bleuler H, Schiffmann J. Haptics based multi-level collaborative steering control for automated driving. Communications Engineering. 2023;2(1).
Journal Category
Technology
Engineering (General)
Civil engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
Modulation of control authority in adaptive haptic shared control paradigms Mechatronics
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
11 2021
10.1109/TMECH.2021.3063902 IEEE/ASME Transactions on Mechatronics
  • Technology: Mechanical engineering and machinery
  • Technology: Manufactures
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2021
Driver acceptance of partial automation after a brief exposure Transportation Research Part F: Traffic Psychology and Behaviour
  • Philosophy. Psychology. Religion: Psychology
  • Social Sciences: Transportation and communications
  • Philosophy. Psychology. Religion: Psychology
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychiatry
20 2020
10.1109/THMS.2020.3017748 2020
10.1109/LRA.2020.2998715 IEEE Robotics and Automation Letters 2020
Citations
Title Journal Journal Categories Citations Publication Date
Reliability-based analysis of horizontal curve design by evaluating the impact of vehicle automation on roadway departure crashes and safety performance Heliyon 2024
Lateral Evasive Maneuver with Shared Control Algorithm: A Simulator Study

Sensors
  • Technology: Chemical technology
  • Science: Chemistry: Analytical chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
2024
Persona-PhysioSync AV: Personalized Interaction through Personality and Physiology Monitoring in Autonomous Vehicles

Sensors
  • Technology: Chemical technology
  • Science: Chemistry: Analytical chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines
  • Science: Chemistry: Analytical chemistry
  • Science: Chemistry
2024
Citations Analysis
The category Technology: Chemical technology 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Persona-PhysioSync AV: Personalized Interaction through Personality and Physiology Monitoring in Autonomous Vehicles and was published in 2024. The most recent citation comes from a 2024 study titled Persona-PhysioSync AV: Personalized Interaction through Personality and Physiology Monitoring in Autonomous Vehicles. This article reached its peak citation in 2024, with 3 citations. It has been cited in 2 different journals, 50% of which are open access. Among related journals, the Sensors cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year