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Kshitij Jerath
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Analytical prediction of self-organized traffic jams as a function of increasing ACC penetration
K Jerath, SN Brennan
IEEE Transactions on Intelligent Transportation Systems 13 (4), 1782-1791, 2012
792012
Bridging the gap between sensor noise modeling and sensor characterization
K Jerath, S Brennan, C Lagoa
Measurement 116, 350-366, 2018
732018
Congestion-aware cooperative adaptive cruise control for mitigation of self-organized traffic jams
T Kim, K Jerath
IEEE Transactions on Intelligent Transportation Systems 23 (7), 6621-6632, 2021
282021
Dynamic prediction of vehicle cluster distribution in mixed traffic: A statistical mechanics-inspired method
K Jerath, A Ray, S Brennan, VV Gayah
IEEE Transactions on Intelligent Transportation Systems 16 (5), 2424-2434, 2015
232015
GPS-free terrain-based vehicle tracking performance as a function of inertial sensor characteristics
K Jerath, SN Brennan
ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on …, 2011
222011
Near-optimal moving average estimation at characteristic timescales: An Allan Variance approach
H Haeri, CE Beal, K Jerath
IEEE Control Systems Letters 5 (5), 1531-1536, 2020
212020
Thermodynamics-inspired macroscopic states of bounded swarms
H Haeri, K Jerath, J Leachman
ASME Letters in Dynamic Systems and Control 1 (1), 011015, 2021
18*2021
Sensor-based calibration of camera’s extrinsic parameters for stereophotogrammetry
F Bottalico, C Niezrecki, K Jerath, Y Luo, A Sabato
IEEE Sensors Journal 23 (7), 7776-7785, 2023
142023
Impact of Adaptive Cruise Control on the Formation of Self-organized Traffic Jams on Highways
K Jerath
132010
Decisive test methods handbook: Test methods for evaluating suas in subterranean and constrained indoor environments, version 1.1
A Norton, R Ahmadzadeh, K Jerath, P Robinette, J Weitzen, ...
arXiv preprint arXiv:2211.01801, 2022
122022
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior
H Haeri, R Ahmadzadeh, K Jerath
Adaptive and Learning Agents Workshop at AAMAS 2021, 2021
122021
Mitigation of self-organized traffic jams using cooperative adaptive cruise control
T Kim, K Jerath
2016 International Conference on Connected Vehicles and Expo (ICCVE), 7-12, 2016
112016
Fast allan variance (favar) and dynamic fast allan variance (d-favar) algorithms for both regularly and irregularly sampled data
SP Maddipatla, H Haeri, K Jerath, S Brennan
IFAC-PapersOnLine 54 (20), 26-31, 2021
102021
Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion
K Jerath, A Ray, S Brennan, VV Gayah
American Control Conference 2014, 5402 - 5407, 2014
102014
Impact of relational networks in multi-agent learning: A value-based factorization view
Y Findik, P Robinette, K Jerath, SR Ahmadzadeh
2023 62nd IEEE conference on decision and control (CDC), 4447-4454, 2023
92023
Evaluation of Navigation and Trajectory-following Capabilities of Small Unmanned Aerial Systems
E Meriaux, K Jerath
2022 Virtual IEEE International Symposium on Technologies for Homeland Security, 2022
92022
Examining the observability of emergent behavior as a function of reduced model order
Z Yang, K Jerath
2018 annual American control conference (ACC), 6218-6223, 2018
82018
Identification of locally influential agents in self-organizing multi-agent systems
K Jerath, S Brennan
2015 American Control Conference (ACC), 335-340, 2015
82015
Adaptive Cruise Control: Towards higher traffic flows, at the cost of increased susceptibility to congestion
K Jerath, S Brennan
Proceedings of AVEC 10, 2010
82010
Decisive benchmarking data report: suas performance results from phase i
A Norton, R Ahmadzadeh, K Jerath, P Robinette, J Weitzen, ...
arXiv preprint arXiv:2301.07853, 2023
72023
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Články 1–20