When and How to Apply Automatic Emergency Brakes Based on Risk
                    Perception and Professional Driver Emergency Braking Behavior

This study reinterprets the rear-end collision avoidance problem as a trajectory planning challenge, introducing an automatic braking control method based on seventh-degree polynomials. This approach effectively balances vehicle safety and comfort. Unlike traditional automatic braking control methods, e.g., time-to-collision or safety distance models, our method incorporates multiple constraints at both the initiation and conclusion of braking. Consequently, it significantly improves the braking comfort while ensuring collision avoidance; specifically, the braking deceleration changes smoothly rather than abruptly, greatly reducing the vehicle’s jerk value. In accordance with the Euro NCAP testing standards, three car-to-car rear (CCR) test scenarios, such as car-to-car rear stationary (CCRs), car-to-car rear moving (CCRm) and car-to-car rear braking (CCRb), were established within the CarSim environment. The proposed algorithm was rigorously evaluated through integrated simulations performed in CarSim and MATLAB/Simulink, demonstrating its effectiveness.

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Study on Aircraft Wing Collision Avoidance through Vision-Based Trajectory Prediction

Zhu,

Xu,

et al. 2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">When the aircraft towing operations are carried out in narrow areas such as the hangars or parking aprons, it has a high safety risk for aircraft that the wingtips may collide with the surrounding aircraft or the airport facility. A real-time trajectory prediction method for the towbarless aircraft taxiing system (TLATS) is proposed to evaluate the collision risk based on image recognition. The Yolov7 module is utilized to detect objects and extract the corresponding features. By obtaining information about the configuration of the airplane wing and obstacles in a narrow region, a Long Short-Term Memory (LSTM) encoder-decoder model is utilized to predict future motion trends. In addition, a video dataset containing the motions of various airplane wings in real traction scenarios is constructed for training and testing. Compared with the conventional methods, the proposed method combines image recognition and trajectory prediction methods to describe the relative positional relationship between the wings and obstacles, which enhances the accuracy of aircraft wing collision prediction during aircraft towing operations.</div></div>

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When and How to Apply Automatic Emergency Brakes Based on Risk Perception and Professional Driver Emergency Braking Behavior

Cited by 5 publications

References 38 publications

A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation

A Robust Driver Emotion Recognition Method Based on High-Purity Feature Separation

Balancing Safety and Comfort: A Novel Automatic Braking Control Method Using Seventh-Degree Polynomials

Study on Aircraft Wing Collision Avoidance through Vision-Based Trajectory Prediction

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