trajectory prediction - Robuta Search

https://waymo.com/research/kemp-keyframe-based-hierarchical-end-to-end-deep-model-for-long-term-trajectory-prediction/ KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction Predicting future trajectories of road agents is a critical task for autonomous driving. Recent goal-based trajectory prediction methods, such as DenseTNT and... long term trajectory prediction kemp keyframe based https://waymo.com/research/stinet-spatio-temporal-interactive-network-for-pedestrian-detection-and-trajectory-prediction/ STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction Detecting pedestrians and predicting future trajectories for them are critical tasks for numerous applications, such as autonomous driving. Previous methods... spatio temporal interactive network trajectory prediction pedestrian detection https://waymo.com/research/pedestrian-crossing-action-recognition-and-trajectory-prediction-with-3d/ Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints Accurate understanding and prediction of human behaviors are critical prerequisites for autonomous vehicles, especially in highly dynamic and interactive... pedestrian crossing trajectory prediction 3d human action recognition https://waymo.com/research/tnt-target-driven-trajectory-prediction/ TNT: Target-driveN Trajectory Prediction Predicting the future behavior of moving agents is essential for real world applications. It is challenging as the intent of the agent and the corresponding... trajectory prediction tnt target driven https://iris.polito.it/handle/11583/2990183 Machine Learning-Driven Trajectory Prediction Models and Motion Control Strategies for Connected... machine learning trajectory prediction motion control driven models https://waymo.com/research/stopnet-scalable-trajectory-and-occupancy-prediction-for-urban-autonomous-driving/ StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving We introduce a motion forecasting (behavior prediction) method that meets the latency requirements for autonomous driving in dense urban environments without... autonomous driving scalable trajectory occupancy prediction https://waymo.com/research/multipath-efficient-information-fusion-and-trajectory-aggregation-for-behavior-prediction/ MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving. Applying deep learning to this... behavior prediction multipath efficient information fusion https://waymo.com/research/multipath-multiple-probabilistic-anchor-trajectory-hypotheses-for-behavior-prediction/ MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Predicting human behavior is a difficult and crucial task required for motion planning. It is challenging in large part due to the highly uncertain and... behavior prediction multipath multiple probabilistic anchor