Results 1 to 10 of about 1,026,389 (317)
Use-case Generation and Analysis for Autonomous Driving in Urban Areas
International Journal of Automotive Engineering, 2021 Being able to generate adequate test scenarios in order to validate autonomous driving functions is of paramount importance for the deployment of autonomous vehicles.
Takuya Nanri, Fang Fang, Abdelaziz Khiat
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Enhanced target tracking algorithm for autonomous driving based on visible and infrared image fusion
Journal of Intelligent and Connected Vehicles, 2023 In autonomous driving, target tracking is essential to environmental perception. The study of target tracking algorithms can improve the accuracy of an autonomous driving vehicle’s perception, which is of great significance in ensuring the safety of ...
Quan Yuan +5 more
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Energies, 2021 This review provides an overview of new strategies to address the current challenges of automotive battery systems: Intelligent Battery Systems. They have the potential to make battery systems more performant and future-proof for coming generations of ...
Lidiya Komsiyska +16 more
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Learning-Based Safe Control for Robot and Autonomous Vehicle Using Efficient Safety Certificate
IEEE Open Journal of Intelligent Transportation Systems, 2023 Energy-function-based safety certificates can provide demonstrable safety for complex automatic control systems used in safety control tasks. However, recent studies on learning-based energy function synthesis have only focused on feasibility, which can ...
Haotian Zheng +6 more
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Communications in Transportation Research, 2023 Solving optimal control problems serves as the basic demand of industrial control tasks. Existing methods like model predictive control often suffer from heavy online computational burdens.
Wenxuan Wang +12 more
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Real-Time Evaluation of Perception Uncertainty and Validity Verification of Autonomous Driving
Sensors, 2023 Deep neural network algorithms have achieved impressive performance in object detection. Real-time evaluation of perception uncertainty from deep neural network algorithms is indispensable for safe driving in autonomous vehicles.
Mingliang Yang +8 more
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Multi-Session High-Definition Map-Monitoring System for Map Update
ISPRS International Journal of Geo-Information, 2023 This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps.
Benny Wijaya +9 more
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Online Quantitative Analysis of Perception Uncertainty Based on High-Definition Map
Sensors, 2023 Environmental perception plays a fundamental role in decision-making and is crucial for ensuring the safety of autonomous driving. A pressing challenge is the online evaluation of perception uncertainty, a crucial step towards ensuring the safety and the
Mingliang Yang +6 more
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Closed-Form Representations of Friction
IEEE Access, 2021 The current developed friction models are basically based on the assumption of the normal forces exerted between the contact surfaces known in advance, less work has been done for closed-form (i.e., analytic) modeling in complex mechanical systems where ...
Jin Huang +4 more
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Journal of Advanced Transportation, 2023 Urban areas are experiencing a substantial increase in parking demand, which creates an imbalance due to the limited availability of parking facilities. To address this issue, effective parking management is necessary.
Ke Huang +3 more
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