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OpenPAV
PublicThe Open-PAV project collects and organizes data from commercial automated vehicles, including LiDAR, images, videos, and trajectory data, in a unified vectorized format. It provides calibrated kinematic models (linear, IDM, Wiedemann-99, ML-based) with pre-configured parameters for simulation software, enabling efficient research and collaborationMKZ_Black_sensor_kit_launch
Public templateMKZ_Black_vehicle_launch
Public templateautoware.MKZ_Black
PublicTradeoff-analysis
Public- Code for paper: Li, X., Ghiasi, A., Xu, Z. & Qu, X. (2018). A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis. Transportation Research Part B, 118: 429-456. https://doi.org/10.1016/j.trb.2018.11.002
- Code for for paper*Zhou, F., Li, X. & Ma, J. (2017). Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography. Transportation Research Part B, 95, 394-420. https://doi.org/10.1016/j.trb.2016.05.007
DOE_VECTOR_Communication
Public