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Driver Intent-Based Intersection Autonomous Driving Collision Avoidance Reinforcement Learning Algorithm
Published 2022-12-01Get full text
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FAD: Fine-Grained Adversarial Detection by Perturbation Intensity Classification
Published 2023-02-01“…Adversarial examples present a severe threat to deep neural networks’ application in safetycritical domains such as autonomous driving. Although there are numerous defensive solutions, they all have some flaws, such as the fact that they can only defend against adversarial attacks with a limited range of adversarial intensities. …”
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Customer’s Adoption Intentions toward Autonomous Delivery Vehicle Services: Extending DOI Theory with Social Awkwardness and Use Experience
Published 2023-01-01“…However, understanding the factors that affect customers’ intentions to use ADVs is still limited. Compared to autonomous driving, ADV customers are ultimately not the real users, who only are served by ADVs during the last leg of a trip. …”
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Adversarial Attack and Defense: A Survey
Published 2022-04-01“…Fields, such as facial payment, smart medical and autonomous driving, which accelerate the construction of smart cities. …”
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The Car-Following Model and Its Applications in the V2X Environment: A Historical Review
Published 2021-12-01“…The results that were determined here can provide a reference for the further development of traffic flow theory, personalized advanced driving assistance systems, and anthropopathic autonomous-driving vehicles.…”
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CenterPNets: A Multi-Task Shared Network for Traffic Perception
Published 2023-02-01“…The importance of panoramic traffic perception tasks in autonomous driving is increasing, so shared networks with high accuracy are becoming increasingly important. …”
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