"Foundation Models for Intelligent Control in Autonomous Driving Traffic Systems"
COMMTR welcomes submissions exploring how #LLMs, #VLMs, and #multimodalfoundationmodels are advancing autonomous driving and intelligent traffic systems. 🤖
"Foundation Models for Intelligent Control in Autonomous Driving Traffic Systems"
COMMTR welcomes submissions exploring how #LLMs, #VLMs, and #multimodalfoundationmodels are advancing autonomous driving and intelligent traffic systems. 🤖
Link: doi.org/10.1016/j.co... 🚇🌍
#PublicTransport #BigData @Tsinghua_Uni @Unibo @HeidelbergU
Link: doi.org/10.1016/j.co... 🚇🌍
#PublicTransport #BigData @Tsinghua_Uni @Unibo @HeidelbergU
📄Title:
Deep learning for vehicle ReID in urban traffic monitoring with visual and temporal information
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Deep learning for vehicle ReID in urban traffic monitoring with visual and temporal information
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
Starting today, #JICV and #COMMTR journals are now on Bluesky! 🎉
👍Follow us as we share cutting-edge research in #autonomousvehicles, #transportation , and AI technologies.
Let’s connect and discuss the latest breakthroughs in smart transportation and mobility!
Starting today, #JICV and #COMMTR journals are now on Bluesky! 🎉
👍Follow us as we share cutting-edge research in #autonomousvehicles, #transportation , and AI technologies.
Let’s connect and discuss the latest breakthroughs in smart transportation and mobility!
📄Title:
Toward zero-forget continual learning for interactive trajectory prediction: A dynamically expandable approach
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Toward zero-forget continual learning for interactive trajectory prediction: A dynamically expandable approach
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
A federated meta-learning approach for interpretable, privacy-preserving, and customizable behavior analysis
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
A federated meta-learning approach for interpretable, privacy-preserving, and customizable behavior analysis
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Cross-temporal framework for driving behavior impact on electric vehicle battery health
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Cross-temporal framework for driving behavior impact on electric vehicle battery health
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
KEPT: Knowledge-enhanced prediction of trajectories from consecutive driving frames with vision-language models
🔗DOI: doi.org/10.26599/COM...
#TFSF #VLM #CoT
@Tsinghua_Uni
📄Title:
KEPT: Knowledge-enhanced prediction of trajectories from consecutive driving frames with vision-language models
🔗DOI: doi.org/10.26599/COM...
#TFSF #VLM #CoT
@Tsinghua_Uni
📄Title:
Joint longitudinal-lateral trajectory planning for CAVs in mixed traffic at signalized intersections
🔗DOI: doi.org/10.26599/COM...
#MLCs #CAVs #MARL
@Tsinghua_Uni
📄Title:
Joint longitudinal-lateral trajectory planning for CAVs in mixed traffic at signalized intersections
🔗DOI: doi.org/10.26599/COM...
#MLCs #CAVs #MARL
@Tsinghua_Uni
📄Title:
LatenAux: Toward latency-aware trajectory prediction for autonomous driving via consolidated auxiliary learning
🔗DOI: doi.org/10.26599/COM...
#trajectory #prediction #latency
@Tsinghua_Uni
📄Title:
LatenAux: Toward latency-aware trajectory prediction for autonomous driving via consolidated auxiliary learning
🔗DOI: doi.org/10.26599/COM...
#trajectory #prediction #latency
@Tsinghua_Uni
📄Title:
VLMPed-CoT: A large vision-language model with a chain-of-thought mechanism for pedestrian crossing intention prediction
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
VLMPed-CoT: A large vision-language model with a chain-of-thought mechanism for pedestrian crossing intention prediction
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
TrafficPerceiver: A multimodal large language model with reinforcement learning for unified challenging traffic scene perception
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
TrafficPerceiver: A multimodal large language model with reinforcement learning for unified challenging traffic scene perception
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Scenario-based testing platform for urban air mobility traffic management systems
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Scenario-based testing platform for urban air mobility traffic management systems
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
LLM-PDM: An LLM Persona-Driven Method for replicating personal mobility preferences at scale
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
LLM-PDM: An LLM Persona-Driven Method for replicating personal mobility preferences at scale
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Review of volume-delay functions integrating traditional models and emerging AI technologies
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Review of volume-delay functions integrating traditional models and emerging AI technologies
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Data-driven decarbonization in the maritime industry: An integrative analytical review
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Data-driven decarbonization in the maritime industry: An integrative analytical review
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Scalable and interoperable C-V2X framework for real-time intelligent decision support in autonomous mobility
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
📄Title:
Scalable and interoperable C-V2X framework for real-time intelligent decision support in autonomous mobility
🔗DOI: doi.org/10.26599/COM...
@Tsinghua_Uni
• Submission Deadline: #1June 2026
• Publication Date: #28August 2026
• Submit via: mc03.manuscriptcentral.com/commtr
🌐 We welcome high-quality contributions that advance the scientific foundations of foundation-model-driven autonomy and traffic intelligence. 🚦🤝
• Submission Deadline: #1June 2026
• Publication Date: #28August 2026
• Submit via: mc03.manuscriptcentral.com/commtr
🌐 We welcome high-quality contributions that advance the scientific foundations of foundation-model-driven autonomy and traffic intelligence. 🚦🤝
🔗 👉 : doi.org/10.1016/j.co...
#TrafficSafety #SmartDriving
🔗 👉 : doi.org/10.1016/j.co...
#TrafficSafety #SmartDriving
🌍✈️ more: doi.org/10.1016/j.co...
@scopus
🌍✈️ more: doi.org/10.1016/j.co...
@scopus
💡 Check out: doi.org/10.1016/j.co... #AutonomousVehicles #FederatedLearning
💡 Check out: doi.org/10.1016/j.co... #AutonomousVehicles #FederatedLearning
Rushan Wang, Yanan Xin, and their team developed a framework using counterfactual explanations to enhance #DLmodels.
👉 Check it out: buff.ly/1YI3ygG
#AI #TrafficPrediction
Rushan Wang, Yanan Xin, and their team developed a framework using counterfactual explanations to enhance #DLmodels.
👉 Check it out: buff.ly/1YI3ygG
#AI #TrafficPrediction
👉 more doi.org/10.1016/j.co... #transportation #Trajectory planning #commtr
👉 more doi.org/10.1016/j.co... #transportation #Trajectory planning #commtr