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Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.

, , , , , , , and . ICRA, page 2090-2096. IEEE, (2019)

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MultiXNet: Multiclass Multistage Multimodal Motion Prediction., , , , , , , , , and 6 other author(s). CoRR, (2020)Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks., , , , , , , and . ICRA, page 2090-2096. IEEE, (2019)Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks., , , , , , , and . CoRR, (2018)Uncertainty-Aware Estimation of Vehicle Orientation for Self-Driving Applications., , , , and . ITSC, page 2660-2666. IEEE, (2021)Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks., , , , , , and . CoRR, (2018)Exploiting iterative-ness for parallel ML computations., , , , , , , , , and 1 other author(s). SoCC, page 5:1-5:14. ACM, (2014)Ellipse Loss for Scene-Compliant Motion Prediction., , , and . CoRR, (2020)Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss., , and . CoRR, (2022)Exploiting Bounded Staleness to Speed Up Big Data Analytics., , , , , , , , , and 2 other author(s). USENIX Annual Technical Conference, page 37-48. USENIX Association, (2014)Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories., , , , , , and . CoRR, (2019)