Papers

Versatile Scene-Consistent Traffic Scenario Generation as Optimization with Diffusion	Zixu Zhang, Zhiyu Huang, Ameya Vaidya, Chen Lv, Jaime Fernández Fisac Nanyang Technological University, Princeton University PDF  |  Poster
RuleFuser- Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction	Jay Patrikar, Sushant Veer, Apoorva Sharma, Marco Pavone, Sebastian Scherer Carnegie Mellon University, NVIDIA, Stanford University PDF
Experimental verification of a scalable protocol for vehicle platooning	Thijs van Oorschot, Mark Jeeninga, Emma Tegling Eindhoven University of Technology, Lund University PDF  |  Poster
Sparse Gaussian Process-Based Strategies for Two-Layer Model Predictive Control in Autonomous Vehicle Drifting	Cheng Hu, Yangyang Xie, Lei Xie, Haokun Xiong, Hongye Su, Michele Magno Zhejiang University, ETH Zurich PDF  |  Poster
Securing Autonomous Vehicle Networks- Strategic Defence Against Communication Attacks	Leandro Parada, Panagiotis Angeloudis Imperial College London PDF
Task-Driven Co-Design for Resource-Efficient Autonomous Vehicles- Integrating Perception and Motion Planning	Dejan Milojevic, Gioele Zardini, Miriam Elser, Andrea Censi, Emilio Frazzoli ETH Zurich, Empa, Stanford University, MIT PDF
Benchmarking Reinforcement Learning for Network-level Coordination of Autonomous Mobility-on-Demand Systems Across Scales	Luigi Tresca, Daniele Gammelli, James Harrison, Gioele Zardini, Marco Pavone Politecnico di Torino, Stanford University, Google DeepMind, MIT PDF  |  Poster
Learning Lane Graphs from Aerial Imagery Using Transformers	Martin Büchner, Simon Dorer, Abhinav Valada University of Freiburg PDF  |  Poster
Localization System Enhanced with CDLPE- A Low-Cost, Resilient Map-Matching Algorithm	Yanyan Wang Baidu PDF
Query-Centric Inverse Reinforcement Learning for Motion Forecasting in Autonomous Driving	Muleilan Pei, Shaojie Shen Hong Kong University of Science and Technology PDF  |  Poster