A systematic review of autonomous emergency braking system: impact factor, technology, and performance evaluation
L Yang, Y Yang, G Wu, X Zhao, S Fang… - Journal of advanced …, 2022 - Wiley Online Library
In order to track the research progress of AEB‐related technologies, this paper makes a
systematic analysis and research on the impact factors, key technologies, and effect …
systematic analysis and research on the impact factors, key technologies, and effect …
[HTML][HTML] Car crash detection using ensemble deep learning and multimodal data from dashboard cameras
Due to the increase in motor vehicle accidents, there is a growing need for high-
performance car crash detection systems. The authors of this research propose a car crash …
performance car crash detection systems. The authors of this research propose a car crash …
Integrated steering and differential braking for emergency collision avoidance in autonomous vehicles
R Hajiloo, M Abroshan, A Khajepour… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Controlling the lateral dynamics of an autonomous vehicle confronting a sudden obstacle
requires optimal use of tires' force capacities. In these situations, autonomous steering may …
requires optimal use of tires' force capacities. In these situations, autonomous steering may …
Mapping and deep analysis of vehicle-to-infrastructure communication systems: coherent taxonomy, datasets, evaluation and performance measurements …
The vehicle-to-infrastructure (V2I) communication system allows the exchange of information
between vehicles and road infrastructures. It aims to avoid or reduce vehicular accidents …
between vehicles and road infrastructures. It aims to avoid or reduce vehicular accidents …
Learning and inferring a driver's braking action in car-following scenarios
Accurately predicting and inferring a driver's decision to brake is critical for designing
warning systems and avoiding collisions. In this paper, we focus on predicting a driver's …
warning systems and avoiding collisions. In this paper, we focus on predicting a driver's …
Fuzzy Surrogate Safety Metrics for real-time assessment of rear-end collision risk. A study based on empirical observations
The present paper discusses two fuzzy Surrogate Safety Metrics (SSMs) for rear-end
collision, the Proactive Fuzzy SSM (PFS) and Critical Fuzzy SSM (CFS). The objective is to …
collision, the Proactive Fuzzy SSM (PFS) and Critical Fuzzy SSM (CFS). The objective is to …
Integrated crash avoidance and mitigation algorithm for autonomous vehicles
This article presents a novel integrated path-following, crash avoidance, and crash
mitigation control algorithm for autonomous vehicles. To improve stability and tracking …
mitigation control algorithm for autonomous vehicles. To improve stability and tracking …
A forward collision avoidance algorithm based on driver braking behavior
Measuring risk is critical for collision avoidance. The paper aims to develop an online risk
level classification algorithm for forward collision avoidance systems. Assuming risk levels …
level classification algorithm for forward collision avoidance systems. Assuming risk levels …
Crash prediction with behavioral and physiological features for advanced vehicle collision avoidance system
Y Ba, W Zhang, Q Wang, R Zhou, C Ren - Transportation Research Part C …, 2017 - Elsevier
Real-time crash prediction is the key component of the Vehicle Collision Avoidance System
(VCAS) and other driver assistance systems. The further improvements of predictability …
(VCAS) and other driver assistance systems. The further improvements of predictability …
A novel collision warning system based on the visual road environment schema: An examination from vehicle and driver characteristics
Drivers pay unequal attention to different road environmental elements and visual fields,
which greatly influences their driving behavior. However, existing collision warning systems …
which greatly influences their driving behavior. However, existing collision warning systems …