This project implements a production-grade probabilistic demand forecasting system for smart mobility applications using Geometric Brownian Motion (GBM) and Monte Carlo simulation techniques. The ...
This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...
Abstract: In motion planning for Connected and automated vehicles (CAVs), separate modeling of car-following and lane-changing behaviors increases decision-making complexity, while scenario switching ...
Abstract: In this letter, we propose a novel reinforcement learning (RL) based path generation (RL-PG) approach for mobile robot navigation without a prior exploration of an unknown environment.
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