---
_id: '66545'
abstract:
- lang: eng
  text: The key to achieving energy efficiency and reducing carbon emissions in transportation
    lies in the effectiveness of vehicles and their associated mechatronic systems.
    A notable example of a mechatronic system is the headlamp at the front of a vehicle,
    which emits adaptive headlights, such as the well-known adaptive cornering lights
    or glare-free high beam. The rise of these and other Advanced Driver Assistance
    Systems (ADAS) has led to a proliferation of sensor data. However, the full potential
    of ADAS sensor data for increasing energy efficiency has not yet been exploited
    in the past. This study demonstrates that utilizing the data to dynamically adapt
    headlights to the upcoming driving scenario leads to a substantial reduction in
    power consumption. This objective is pursued by focusing on the predominant carbon
    footprint driver, namely the low beam.
author:
- first_name: Niklas
  full_name: Fittkau, Niklas
  id: '69890'
  last_name: Fittkau
  orcid: 0009-0007-1281-4465
- first_name: Leon
  full_name: Bußemas, Leon
  id: '51118'
  last_name: Bußemas
- first_name: Kevin
  full_name: Malena, Kevin
  id: '36303'
  last_name: Malena
  orcid: 0000-0003-1183-4679
- first_name: Sandra
  full_name: Gausemeier, Sandra
  id: '17793'
  last_name: Gausemeier
- first_name: Ansgar
  full_name: Trächtler, Ansgar
  id: '552'
  last_name: Trächtler
citation:
  ama: 'Fittkau N, Bußemas L, Malena K, Gausemeier S, Trächtler A. Intelligent headlights
    boost energy efficiency and drive decarbonization. In: <i>2026 IEEE Intelligent
    Vehicles Symposium (IV)</i>. Vol 37. IEEE; 2026.'
  apa: Fittkau, N., Bußemas, L., Malena, K., Gausemeier, S., &#38; Trächtler, A. (2026).
    Intelligent headlights boost energy efficiency and drive decarbonization. <i>2026
    IEEE Intelligent Vehicles Symposium (IV)</i>, <i>37</i>.
  bibtex: '@inproceedings{Fittkau_Bußemas_Malena_Gausemeier_Trächtler_2026, place={Detroit,
    Vereinigte Staaten}, title={Intelligent headlights boost energy efficiency and
    drive decarbonization}, volume={37}, booktitle={2026 IEEE Intelligent Vehicles
    Symposium (IV)}, publisher={IEEE}, author={Fittkau, Niklas and Bußemas, Leon and
    Malena, Kevin and Gausemeier, Sandra and Trächtler, Ansgar}, year={2026} }'
  chicago: 'Fittkau, Niklas, Leon Bußemas, Kevin Malena, Sandra Gausemeier, and Ansgar
    Trächtler. “Intelligent Headlights Boost Energy Efficiency and Drive Decarbonization.”
    In <i>2026 IEEE Intelligent Vehicles Symposium (IV)</i>, Vol. 37. Detroit, Vereinigte
    Staaten: IEEE, 2026.'
  ieee: N. Fittkau, L. Bußemas, K. Malena, S. Gausemeier, and A. Trächtler, “Intelligent
    headlights boost energy efficiency and drive decarbonization,” in <i>2026 IEEE
    Intelligent Vehicles Symposium (IV)</i>, Detroit, 2026, vol. 37.
  mla: Fittkau, Niklas, et al. “Intelligent Headlights Boost Energy Efficiency and
    Drive Decarbonization.” <i>2026 IEEE Intelligent Vehicles Symposium (IV)</i>,
    vol. 37, IEEE, 2026.
  short: 'N. Fittkau, L. Bußemas, K. Malena, S. Gausemeier, A. Trächtler, in: 2026
    IEEE Intelligent Vehicles Symposium (IV), IEEE, Detroit, Vereinigte Staaten, 2026.'
conference:
  end_date: 2026-06-25
  location: Detroit
  name: 37th IEEE Intelligent Vehicles Symposium (IV)
  start_date: 2026-06-22
date_created: 2026-07-20T06:18:02Z
date_updated: 2026-07-20T08:31:58Z
department:
- _id: '153'
intvolume: '        37'
keyword:
- intelligent headlights
- energy efficiency
- ecodriving
- decarbonization
- matrix LED headlights
- adaptive realtime control
- ADAS systems
- feedforward control
- simulation
language:
- iso: eng
place: Detroit, Vereinigte Staaten
project:
- _id: '693'
  name: Nachhaltigkeitsoptimiertes Life Cycle Assessment technologisch hochkomplexer
    Produkte am Beispiel Automobilbeleuchtung
publication: 2026 IEEE Intelligent Vehicles Symposium (IV)
publisher: IEEE
quality_controlled: '1'
status: public
title: Intelligent headlights boost energy efficiency and drive decarbonization
type: conference
user_id: '69890'
volume: 37
year: '2026'
...