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A review: State estimation based on hybrid models of Kalman filter and neural network
S Feng, X Li, S Zhang, Z Jian, H Duan… - Systems Science & …, 2023 - Taylor & Francis
In this paper, hybrid models of Kalman filter and neural network for state estimation are
reviewed of their corresponding academic achievements, the creation of which is a …
reviewed of their corresponding academic achievements, the creation of which is a …
A systematic review of traffic conflict-based safety measures with a focus on application context
Relative to safety assessment using data from observed crashes, conflict-based road safety
assessment can potentially provide additional insights into crash causation processes …
assessment can potentially provide additional insights into crash causation processes …
A survey of driving safety with sensing, vehicular communications, and artificial intelligence-based collision avoidance
Accurately discovering hazards and issuing appropriate warnings to drivers in advance or
performing autonomous control is the core of the Collision Avoidance (CA) system used to …
performing autonomous control is the core of the Collision Avoidance (CA) system used to …
Smoothing traffic flow via control of autonomous vehicles
The emergence of autonomous vehicles (AVs) is expected to revolutionize road
transportation in the near future. Although large-scale numerical simulations and small-scale …
transportation in the near future. Although large-scale numerical simulations and small-scale …
Data-driven robust predictive control for mixed vehicle platoons using noisy measurement
This paper investigates cooperative adaptive cruise control (CACC) for mixed platoons
consisting of both human-driven vehicles (HVs) and automated vehicles (AVs). This …
consisting of both human-driven vehicles (HVs) and automated vehicles (AVs). This …
Lane-change intention inference based on RNN for autonomous driving on highways
Recently, inferring lane change intention has received considerable attention. Due to the
high nonlinearity and complexity of traffic contexts, traditional methods cannot satisfy the …
high nonlinearity and complexity of traffic contexts, traditional methods cannot satisfy the …
Investigation on AEB key parameters for improving car to two-wheeler collision safety using in-depth traffic accident data
L Hu, H Li, P Yi, J Huang, M Lin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic emergency braking (AEB) system play an essential role in avoiding traffic
collisions and minimizing impact strengths, which contributes to improving road traffic safety …
collisions and minimizing impact strengths, which contributes to improving road traffic safety …