4 papers
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
Weijiang Xiong, Robert Fonod, Nikolas Geroliminis
Traffic forecasting is a challenging spatio-temporal modeling task and a critical component of urban transportation management. Current studies mainly focus on deterministic predic…
Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
Weijiang Xiong, Robert Fonod, Alexandre Alahi +1
Traffic forecasting is a fundamental task in transportation research, however the scope of current research has mainly focused on a single data modality of loop detectors. Recently…
EvTTC: An Event Camera Dataset for Time-to-Collision Estimation
Kaizhen Sun, Jinghang Li, Kuan Dai +3
Time-to-Collision (TTC) estimation lies in the core of the forward collision warning (FCW) functionality, which is key to all Automatic Emergency Braking (AEB) systems. Although th…
Motion Forecasting for Autonomous Vehicles: A Survey
Jianxin Shi, Jinhao Chen, Yuandong Wang +4
In recent years, the field of autonomous driving has attracted increasingly significant public interest. Accurately forecasting the future behavior of various traffic participants…