Search Results for author:
Found 8 papers, 5 papers with code
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Real-time, accurate prediction of human steering behaviors has wide applications, from developing intelligent traffic systems to deploying autonomous driving systems in both real and simulated worlds.
SocialVAE: Human Trajectory Prediction using Timewise Latents
Predicting pedestrian movement is critical for human behavior analysis and also for safe and efficient human-agent interactions.
What we see and What we don't see: Imputing Occluded Crowd Structures from Robot Sensing
We address the problem of inferring the human occupancy in the space around the robot, in blind spots, beyond the range of its sensing capabilities.
OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets
Human Trajectory Prediction (HTP) has gained much momentum in the last years and many solutions have been proposed to solve it.
Data-Driven Crowd Simulation with Generative Adversarial Networks
This paper presents a novel data-driven crowd simulation method that can mimic the observed traffic of pedestrians in a given environment.
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs
We show through experiments on real and synthetic data that the proposed method leads to generate more diverse samples and to preserve the modes of the predictive distribution.
Ranked #1 on
Trajectory Prediction
on Stanford Drone
(FDE (in world coordinates) metric)
Bayesian Scale Estimation for Monocular SLAM Based on Generic Object Detection for Correcting Scale Drift
This work proposes a new, online algorithm for estimating the local scale correction to apply to the output of a monocular SLAM system and obtain an as faithful as possible metric reconstruction of the 3D map and of the camera trajectory.
Robotics
Probabilistic Global Scale Estimation for MonoSLAM Based on Generic Object Detection
This paper proposes a novel method to estimate the global scale of a 3D reconstructed model within a Kalman filtering-based monocular SLAM algorithm.
