Results 261 to 270 of about 10,472,101 (345)

AI-Enabled Hardware-in-the-Loop Validation for Automotive Cybersecurity: A Review of Cyber Threats, Testbeds, and Intelligent Detection. [PDF]

Sensors (Basel)
Kordi F, Fortier P, Miled A.
europepmc   +1 more source

Testbed Design and Performance Emulation for Satellite-Terrestrial Integrated Networks. [PDF]

Sensors (Basel)
Wei E, Yu J, Wen Y.
europepmc   +1 more source

Improving the accuracy of distributed cooperative positioning at urban intersections based on mathematical analysis and robust filtering. [PDF]

PLoS One
Liu D, Zeng Z, Li T.
europepmc   +1 more source

Smart packet prioritization in cognitive radio networks for smart agriculture. [PDF]

Sci Rep
Selem E, Alattal A, Shaalan AHA, Abdelwahab NM.   +3 more
europepmc   +1 more source

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Traffic simulation software review

2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA), 2017
Metro Manila traffic, specifically in EDSA, needs to be simulated and analyzed in order to minimize waste and pollution. The purpose of this research is to compare different traffic simulation software and choose which is the most viable for the researchers to simulate traffic in EDSA.
Paolo M. Ejercito, Kristine Gayle E. Nebrija, Rommel P. Feria, Ligaya Leah Figueroa   +3 more
openaire   +3 more sources

Optimizing vehicle dynamics co-simulation performance by introducing mesoscopic traffic simulation

Simulation Modelling Practice and Theory, 2023
Balazs Varga, Tamas Tettamanti
exaly   +2 more sources

Guided Conditional Diffusion for Controllable Traffic Simulation

IEEE International Conference on Robotics and Automation, 2022
Controllable and realistic traffic simulation is critical for developing and verifying autonomous vehicles. Typical heuristic-based traffic models offer flexible control to make vehicles follow specific trajectories and traffic rules.
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, M. Pavone   +7 more
semanticscholar   +1 more source

MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation

Computer Vision and Pattern Recognition, 2023
The prevailing way to test a self-driving vehicle (SDV) in simulation involves non-reactive open-loop replay of real world scenarios. However, in order to safely deploy SDVs to the real world, we need to evaluate them in closed-loop.
Simon Suo, K. Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, R. Urtasun   +6 more
semanticscholar   +1 more source

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation

IEEE International Conference on Robotics and Automation, 2023
In light of the challenges and costs of real-world testing, autonomous vehicle developers often rely on testing in simulation for the creation of reliable systems.
Yulong Cao, B. Ivanovic, Chao-Wei Xiao, Marco Pavone   +3 more
semanticscholar   +1 more source

BITS: Bi-level Imitation for Traffic Simulation

IEEE International Conference on Robotics and Automation, 2022
Simulation is the key to scaling up validation and verification for robotic systems such as autonomous vehicles. Despite advances in high-fidelity physics and sensor simulation, a critical gap remains in simulating realistic behaviors of road users. This
Danfei Xu, Yuxiao Chen, B. Ivanovic, M. Pavone   +3 more
semanticscholar   +1 more source