N. Loganathan, A. Poovalappil, J. Naber, D. Robinette, and M. Bahramgiri. Machine
learning based
lane detection and lateral offset estimation model for vehicle following applications.
Technical
report, SAE Technical Paper, 2025
• A. Poovalappil, A. Robare, P. Apostol, M. Bahramgiri, B. Chen, J. Naber, and D.
D. Robinette. Realtime dynamic mass learning algorithm for connected and automated
light-duty vehicles. Technical
report, SAE Technical Paper, 2025
• A. Poovalappil, A. Robare, L. Schexnaydre, P. Santhosh, M. Bahramgiri, J. Bos, B.
Chen, J. Naber,
and D. Robinette. On-road investigation of energy saving opportunity for autonomous
light-duty
vehicles through automated vehicle-following in safe distance scenarios. Technical
report, SAE
Technical Paper, 2025
• V. Ponnuru, S. Das, J. Grant, J. Naber, and M. Bahramgiri. Empirical analysis on
machine vision
recognition of green bike lanes for vulnerable road users safety. Technical report,
SAE Technical
Paper, 2025
• A. Robare, A. Poovalappil, A. Udipi, M. Bhure, M. Bahramgiri, D. Robinette, J. Naber,
and B. Chen.
On-vehicle optimum route selection for a plug-in hybrid electric vehicle. Technical
report, SAE
Technical Paper, 2025
• A. Robare, A. Poovalappil, M. Bahramgiri, D. Robinette, J. Naber, and B. Chen. Route-optimized
energy usage for a plug-in hybrid electric vehicle using mode blending. Technical
report, SAE
Technical Paper, 2024
• M. Bahramgiri, D. Fuhrmann, and N. Rawashdeh. A synchronous multi-modal data acquisition
and
processing system for adas applications using an onboard gpu. In Autonomous Systems:
Sensors,
Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure
2023, volume
12540, pages 152–159. SPIE, 2023
• E. Moradi-Pari, D. Tian, M. Bahramgiri, S. Rajab, and S. Bai. Dsrc versus lte-v2x:
Empirical performance analysis of direct vehicular communication technologies. IEEE
Transactions on Intelligent
Transportation Systems, pages 1–0, 2023
• M. Bahramgiri, S. Nooshabadi, K. Olutomilayo, and D. Fuhrmann. Hitch angle estimation
for trailer
backup system—an object detection and tracking approach. IEEE Transactions on Instrumentation
and Measurement, 71:1–15, 2022
• M. Bahramgiri, S. Nooshabadi, K. Olutomilayo, and D. Fuhrmann. Automotive radar-based
hitch
angle tracking technique for trailer backup assistant systems. IEEE Transactions on
Intelligent Vehicles, pages 1–1, 2022
• K. Olutomilayo, M. Bahramgiri, S. Nooshabadi, and D. Fuhrmann. Extrinsic radar calibration
with
overlapping fov and hitch ball position estimation. IEEE Transactions on Instrumentation
and Measurement, 70:1–11, 2021
