6 citations · 13 across the 12 of their papers we have counts for
14 papers · 1 filter
A Kinematic Model for Trajectory Prediction in General Highway Scenarios
Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson
Highway driving invariably combines high speeds with the need to interact closely with other drivers. Prediction methods enable autonomous vehicles (AVs) to anticipate drivers' fut…
Off The Beaten Sidewalk: Pedestrian Prediction In Shared Spaces For Autonomous Vehicles
Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson
Pedestrians and drivers interact closely in a wide range of environments. Autonomous vehicles (AVs) correspondingly face the need to predict pedestrians' future trajectories in the…
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design
Patrick Holmes, Shreyas Kousik, Bohao Zhang +4
For robotic arms to operate in arbitrary environments, especially near people, it is critical to certify the safety of their motion planning algorithms. However, there is often a t…
Leveraging the Template and Anchor Framework for Safe, Online Robotic Gait Design
Jinsun Liu, Pengcheng Zhao, Zhenyu Gan +2
Online control design using a high-fidelity, full-order model for a bipedal robot can be challenging due to the size of the state space of the model. A commonly adopted solution to…
Risk Assessment and Planning with Bidirectional Reachability for Autonomous Driving
Ming-Yuan Yu, Ram Vasudevan, Matthew Johnson-Roberson
Knowing and predicting dangerous factors within a scene are two key components during autonomous driving, especially in a crowded urban environment. To navigate safely in environme…
On-Demand Trajectory Predictions for Interaction Aware Highway Driving
Cyrus Anderson, Ram Vasudevan, Matthew Johnson-Roberson
Highway driving places significant demands on human drivers and autonomous vehicles (AVs) alike due to high speeds and the complex interactions in dense traffic. Merging onto the h…