Danial Kamran
Danial Kamran
Institute for Measurement and Control Systems, Karlsruhe Institute of Technology
Email confirmado em kit.edu - Página inicial
Citado por
Citado por
Risk-aware high-level decisions for automated driving at occluded intersections with reinforcement learning
D Kamran, CF Lopez, M Lauer, C Stiller
2020 IEEE Intelligent Vehicles Symposium (IV), 1205-1212, 2020
Learning path tracking for real car-like mobile robots from simulation
D Kamran, J Zhu, M Lauer
2019 European Conference on Mobile Robots (ECMR), 1-6, 2019
Online Visual Gyroscope for Autonomous Cars
D Kamran, M Karimian, A Nazemipour, MT Manzuri
2016 24th Iranian Conference on Electrical Engineering (ICEE), 113-118, 2016
Automation of the UNICARagil vehicles
M Buchholz, F Gies, A Danzer, M Henning, C Hermann, M Herzog, ...
29th Aachen Colloquium Sustainable Mobility 2, 1531-1560, 2020
MEMS gyro bias estimation in accelerated motions using sensor fusion of camera and angular-rate gyroscope
A Nazemipour, MT Manzuri, D Kamran, M Karimian
IEEE Transactions on Vehicular Technology 69 (4), 3841-3851, 2020
3-Point RANSAC for fast vision based rotation estimation using GPU technology
D Kamran, MT Manzuri, A Marjovi, M Karimian
Multisensor Fusion and Integration for Intelligent Systems (MFI), 2016 IEEE …, 2017
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning
D Kamran, T Engelgeh, M Busch, J Fischer, C Stiller
arXiv preprint arXiv:2107.07316, 2021
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging
D Kamran, Y Ren, M Lauer
arXiv preprint arXiv:2107.07413, 2021
Learning Realistic High Level Decisions for Autonomous Driving at Complex Intersections
D Kamran, M Lauer, C Stiller
13. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren, 2020
HDL based simulation framework for a DPA secured embedded system
D Kamran, A Marjovi, A Fanian, M Safayani
2015 CSI Symposium on Real-Time and Embedded Systems and Technologies (RTEST …, 2015
On the Challenges of Safe and Scalable Reinforcement Learning for Automated Driving at Intersections
D Kamran, M Busch, T Engelgeh
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