Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024)
Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks (ITSC 2023)
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024) - Pedestrian Trajectory Prediction Part
software or hardware solutions to Large-scale / multiplayer VR games or exhibitions
Examination of traffic conditions in different shared space road enviroments
Ephemeral Hub:: A temporary, no-login-required space for text, files, and collaborative brainstorming
Simulating mixed traffic on different urban infrastructure layouts
The gym simulation environment used in our IEEE-IV paper "Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space"
𝐓𝐰𝐢𝐧𝐬 is a private shared space for exactly two people to save links, notes, photos, files, and moments together.
Pedestrian trajectory extraction and analysis in an LMIC urban environment. Compares Yaoundé's mixed-traffic patterns against ETH/UCY benchmarks.
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