14 citations · 30 across the 5 of their papers we have counts for
5 papers
Physically Feasible Vehicle Trajectory Prediction
Harshayu Girase, Jerrick Hoang, Sai Yalamanchi +1
Predicting the future motion of actors in a traffic scene is a crucial part of any autonomous driving system. Recent research in this area has focused on trajectory prediction appr…
Ellipse Loss for Scene-Compliant Motion Prediction
Henggang Cui, Hoda Shajari, Sai Yalamanchi +1
Motion prediction is a critical part of self-driving technology, responsible for inferring future behavior of traffic actors in autonomous vehicle's surroundings. In order to ensur…
Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization
Eason Wang, Henggang Cui, Sai Yalamanchi +3
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 an…
Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps
Sai Yalamanchi, Tzu-Kuo Huang, Galen Clark Haynes +1
Motion prediction of surrounding vehicles is one of the most important tasks handled by a self-driving vehicle, and represents a critical step in the autonomous system necessary to…
Concurrent Meta Reinforcement Learning
Emilio Parisotto, Soham Ghosh, Sai Bhargav Yalamanchi +3
State-of-the-art meta reinforcement learning algorithms typically assume the setting of a single agent interacting with its environment in a sequential manner. A negative side-effe…