Details
Konferenz
| Konferenz | Automotive Ethernet Congress |
|---|---|
| Land/Gebiet | Deutschland |
| Ort | München |
| Zeitraum | 5 März 2024 → 7 März 2024 |
| Internetadresse |
Abstract
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2024. 1-29 Automotive Ethernet Congress, München, Bayern, Deutschland.
Publikation: Konferenzbeitrag › Vortragsfolien › Forschung › Peer-Review
}
TY - CONF
T1 - Ethernet-based lighting-architecture
T2 - Automotive Ethernet Congress
AU - Pfleiderer, Richard
AU - Schleusner, Jens Karsten
AU - Blume, Holger Christoph
AU - Kreipe, Bernhard
AU - Lampe, Sebastian
AU - Speh, Jörg
PY - 2024/3/6
Y1 - 2024/3/6
N2 - Single pair Ethernet in combination with Ethernet endpoints provides a scalable basis for the direct control of sensors and actuators in zonal vehicle networks. As recently shown, this approach is also ideal for driving high-resolution light functions. The ability to transmit different parallel data streamsto actuators opens a wide field for new applications. Here, we show a method for stabilising high-resolution light projections in driving operation. The stabilization of the light image is based on an inertial measurement unit that records vehicle movements in real-time. An algorithm in a central control unit continuously calculates correction values for the position and distortion compensationof the light distribution and sends this data to the lamp via Ethernet, preferably 10BASE-T1S. Two methods are combined in a proof of concept: predictive correction with video data rate and image shifting in the headlamp’s frame buffer at high frequency.
AB - Single pair Ethernet in combination with Ethernet endpoints provides a scalable basis for the direct control of sensors and actuators in zonal vehicle networks. As recently shown, this approach is also ideal for driving high-resolution light functions. The ability to transmit different parallel data streamsto actuators opens a wide field for new applications. Here, we show a method for stabilising high-resolution light projections in driving operation. The stabilization of the light image is based on an inertial measurement unit that records vehicle movements in real-time. An algorithm in a central control unit continuously calculates correction values for the position and distortion compensationof the light distribution and sends this data to the lamp via Ethernet, preferably 10BASE-T1S. Two methods are combined in a proof of concept: predictive correction with video data rate and image shifting in the headlamp’s frame buffer at high frequency.
M3 - Slides to presentation
SP - 1
EP - 29
Y2 - 5 March 2024 through 7 March 2024
ER -