Qi Chen
Mercedes-Benz
12 Papers
145 Citations
Qi Chen is an academic researcher from Mercedes-Benz. The author has contributed to research in topics: Dedicated short-range communications & Communication channel. The author has an hindex of 10, co-authored 12 publications. Previous affiliations of Qi Chen include Daimler AG.
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Papers
Overhaul of ieee 802.11 modeling and simulation in ns-2
Qi Chen,Felix Schmidt-Eisenlohr,Daniel Jiang,Marc Torrent-Moreno,Luca Delgrossi,Hannes Hartenstein +5 more
- 23 Oct 2007
TL;DR: A completely revised architecture and design for the IEEE 802.11 MAC and PHY is presented, which models transmission and reception coordination, backoff management and channel state monitoring in a structured and modular manner and provides for a significantly higher level of simulation accuracy.
464
IEEE 1609.4 DSRC multi-channel operations and its implications on vehicle safety communications
Qi Chen,Daniel Jiang,Luca Delgrossi +2 more
- 01 Oct 2009
TL;DR: This paper provides an overview of IEEE 1609.4, a work in progress standard for multi-channel operations over the 5.9GHz Dedicated Short Range Communications spectrum, and describes the main features in detail and discusses the main concerns with the original protocol design.
167
IEEE 802.11 based vehicular communication simulation design for NS-2
Qi Chen,Daniel Jiang,Vikas Taliwal,Luca Delgrossi +3 more
- 29 Sep 2006
TL;DR: Improvements to the IEEE 802.11 PHY and MAC modules in NS-2 are described and the resulting simulator is a more accurate simulation tool for DSRC in particular and IEEE802.11 based wireless communication research in general.
96
Object Matching for Inter-Vehicle Communication Systems—An IMM-Based Track Association Approach With Sequential Multiple Hypothesis Test
Ting Yuan,Krishanth Krishnan,Qi Chen,Jakob Breu,Tobias Roth,Bharanidhar Duraisamy,Christian Weiss,Michael Maile,Axel Gern +8 more
TL;DR: A track-based association approach using an interacting multiple model estimator with a sequential multiple hypothesis test (denoted as IMM-SMHT) as an ubiquitous solution to handle different situations in complicated driving scenarios and shows promising object matching performance of significant practical feasibility.
31
DSRC and radar object matching for cooperative driver assistance systems
Qi Chen,Ting Yuan,Jorg Hillenbrand,Axel Gern,Tobias Roth,Florian Kuhnt,Marius Zöllner,Jakob Breu,Miro Bogdanovic,Christian Weiss +9 more
- 01 Jun 2015
TL;DR: This paper proposes a system architecture to fuse DSRC and radar data that uses a reliable statistical track-to-track association algorithm in a novel way to solve this data matching problem.
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