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Found 6 papers, 4 papers with code
Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles
Pedestrians and drivers interact closely in a wide range of environments.
Robotics
On-Demand Trajectory Predictions for Interaction Aware Highway Driving
Highway driving places significant demands on human drivers and autonomous vehicles (AVs) alike due to high speeds and the complex interactions in dense traffic.
Robotics Signal Processing
Stochastic Sampling Simulation for Pedestrian Trajectory Prediction
Our work demonstrates the effectiveness and potential of using simulation as a substitution for human annotation efforts to train high-performing prediction algorithms such as the DNNs.
Robotics
Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars
We show that a state-of-the-art detector, tracker, and our classifier trained only on synthetic data can identify valid errors on KITTI tracking dataset with an average precision of 0. 94.
Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
Performing arts organizations aim to enrich their communities through the arts.
Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
In this analysis, we find that lead service lines are not the only factor that is predictive of the risk of lead contamination of water.
