A5012251369- Autonomous Vehicle Technology and Safety
- Traffic control and management
- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Vehicle Dynamics and Control Systems
- Ethics and Social Impacts of AI
- Human-Automation Interaction and Safety
- Digitalization, Law, and Regulation
- Law, AI, and Intellectual Property
- Vehicle License Plate Recognition
- Anomaly Detection Techniques and Applications
- Vehicular Ad Hoc Networks (VANETs)
- Business Process Modeling and Analysis
- Digital and Cyber Forensics
- Artificial Intelligence in Law
- Dispute Resolution and Class Actions
Beijing Institute of Technology
2022-2024
Abstract Defined traffic laws must be respected by all vehicles when driving on the road, including self-driving without human drivers. Nevertheless, ambiguity of human-oriented laws, particularly compliance thresholds, poses a significant challenge to implementation regulations vehicles, especially in detecting illegal behaviors. To address these challenges, here we present trigger-based hierarchical online monitor for self-assessment behavior, which aims improve rationality and real-time...
Facts proved that obeying traffic laws keeps the promise to promote safety of self-driving vehicles. Current vehicles usually have fixed algorithms during autonomous driving, however may differ or change in different regions times, e.g., tidal lanes. It raises a crucial requirement make adapt newly received laws. The challenges are semantic and manually designed, but original not always contain pre-designed interface emerging To this end, work proposes law adaptive decision-making platform,...
Compliance with traffic laws is a fundamental requirement for human drivers on the road, and autonomous vehicles must adhere to as well. However, current prioritize safety collision avoidance primarily in their decision-making planning, which will lead misunderstandings distrust from may even result accidents mixed flow. Therefore, ensuring compliance of driving system essential promoting widespread adoption technology. To this end, paper proposes trigger-based layered framework. This...
As autonomous driving advances, vehicles will share the road with human drivers. This requires to adhere traffic laws under safe conditions. Simultaneously, when confronted dangerous situations, should also possess capability deviate from ensure safety. However, current primarily prioritize safety and collision avoidance in their decision-making planning. may lead misunderstandings distrust drivers mixed flow, even accidents. To address this, this paper proposes a decoupled hierarchical...
Autonomous Vehicles (AVs) must adhere to traffic laws designed for human-driven vehicles. However, since current are expressed in natural language and inherently ambiguous, AVs encounter challenges comprehending these laws. Therefore, digitizing into a format that can understand is crucial safe efficient driving. In this paper, process regulations proposed, where each regulation digitized temporal logic expression composed of computable atomic propositions. Based on process, vehicle-side...
Defined traffic laws must be respected by all vehicles. However, it is essential to know which behaviours violate the current laws, especially when a responsibility issue involved in an accident. This brings challenges of digitizing human-driver-oriented and monitoring vehicles' continuously. To address these challenges, this paper aims digitize law comprehensively provide application for online violations autonomous introduces layered trigger domain-based digitization architecture with...
Defined traffic laws must be respected by all vehicles. However, it is essential to know which behaviors violate the current laws, especially when a responsibility issue involved in an accident. This brings challenges of digitizing human-driver-oriented and monitoring vehicles' continuously. To address these challenges, this paper aims digitize law comprehensively provide application for online legal driving behavior autonomous introduces layered trigger domain-based digitization...
Compliance with traffic laws is a fundamental requirement for human drivers on the road, and autonomous vehicles must adhere to as well. However, current prioritize safety collision avoidance primarily in their decision-making planning, which will lead misunderstandings distrust from may even result accidents mixed flow. Therefore, ensuring compliance of driving system essential promoting widespread adoption technology. To this end, paper proposes trigger-based layered framework. This...