Papers Multi Future Trajectory Prediction
“Multi Future Trajectory Prediction” 태그가 달린 논문 8편 · 필터 해제
Vision-based Multi-future Trajectory Prediction: A Survey
Vision-based trajectory prediction is an important task that supports safe and intelligent behaviours in autonomous systems. Many advanced approaches have been proposed over the years with improved spatial and temporal f…
Multi-future Trajectory PredictionMulti Future Trajectory PredictionPredictionSurvey+1Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network
Simultaneous trajectory prediction for multiple heterogeneous traffic participants is essential for safe and efficient operation of connected automated vehicles under complex driving situations. Two main challenges for t…
Autonomous VehiclesDecision MakingGraph AttentionMulti Future Trajectory Prediction+1Multiple Future Prediction Leveraging Synthetic Trajectories
Trajectory prediction is an important task, especially in autonomous driving. The ability to forecast the position of other moving agents can yield to an effective planning, ensuring safety for the autonomous vehicle as …
Autonomous DrivingFuture predictionMulti Future Trajectory PredictionPosition+2MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction
Autonomous vehicles are expected to drive in complex scenarios with several independent non cooperating agents. Path planning for safely navigating in such environments can not just rely on perceiving present location an…
Autonomous VehiclesMulti Future Trajectory PredictionPredictionTrajectory PredictionAC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Anticipating human motion in crowded scenarios is essential for developing intelligent transportation systems, social-aware robots and advanced video surveillance applications. A key component of this task is represented…
Graph AttentionMulti-future Trajectory PredictionMulti Future Trajectory PredictionTrajectory PredictionIt Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
Human trajectory forecasting with multiple socially interacting agents is of critical importance for autonomous navigation in human environments, e.g., for self-driving cars and social robots. In this work, we present Pr…
Autonomous NavigationMulti-future Trajectory PredictionMulti Future Trajectory PredictionPrediction+3The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
This paper studies the problem of predicting the distribution over multiple possible future paths of people as they move through various visual scenes. We make two main contributions. The first contribution is a new data…
Autonomous DrivingHuman motion predictionmotion predictionMulti-future Trajectory Prediction+4DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
We introduce a Deep Stochastic IOC RNN Encoderdecoder framework, DESIRE, for the task of future predictions of multiple interacting agents in dynamic scenes. DESIRE effectively predicts future locations of objects in mul…
Future predictionMulti Future Trajectory PredictionPredictionTrajectory Prediction