Search Results for author: Sai Yalamanchi

Found 3 papers, 1 papers with code

Physically Feasible Vehicle Trajectory Prediction

no code implementations29 Apr 2021 Harshayu Girase, Jerrick Hoang, Sai Yalamanchi, Micol Marchetti-Bowick

Predicting the future motion of actors in a traffic scene is a crucial part of any autonomous driving system.

Autonomous Driving Trajectory Prediction

Ellipse Loss for Scene-Compliant Motion Prediction

no code implementations5 Nov 2020 Henggang Cui, Hoda Shajari, Sai Yalamanchi, Nemanja Djuric

Motion prediction is a critical part of self-driving technology, responsible for inferring future behavior of traffic actors in autonomous vehicle's surroundings.

Autonomous Driving motion prediction

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization

1 code implementation14 Apr 2020 Eason Wang, Henggang Cui, Sai Yalamanchi, Mohana Moorthy, Fang-Chieh Chou, Nemanja Djuric

One of the most critical pieces of the self-driving puzzle is the task of predicting future movement of surrounding traffic actors, which allows the autonomous vehicle to safely and effectively plan its future route in a complex world.

Autonomous Vehicles Motion Forecasting +1

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