Trajectory-Prediction with Vision: A Survey
To plan a safe and efficient route, an autonomous vehicle should anticipate future trajectories of other agents around it. Trajectory prediction is an extremely challenging task which recently gained a lot of attention in the autonomous vehicle research community. Trajectory-prediction forecasts future state of all the dynamic agents in the scene given their current and past states. A good prediction model can prevent collisions on the road, and hence the ultimate goal for autonomous vehicles: Collision rate: collisions per Million miles. The objective of this paper is to provide an overview of the field trajectory-prediction. We categorize the relevant algorithms into different classes so that researchers can follow through the trends in the trajectory-prediction research field. Moreover we also touch upon the background knowledge required to formulate a trajectory-prediction problem.
Code (0)
등록된 구현이 없습니다.
Tasks
Autonomous VehiclesPredictionSurveyTrajectory PredictionSimilar Papers 제목 키워드 기반
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+1Deep Learning for Vision-based Prediction: A Survey
Vision-based prediction algorithms have a wide range of applications including autonomous driving, surveillance, human-robot interaction, weather prediction. The objective of this paper is to provide an overview of the f…
Autonomous DrivingDeep Learningmotion predictionPrediction+3Trajectory Prediction Meets Large Language Models: A Survey
Recent advances in large language models (LLMs) have sparked growing interest in integrating language-driven techniques into trajectory prediction. By leveraging their semantic and reasoning capabilities, LLMs are reshap…
Language ModelingLanguage ModellingPredictionScene Understanding+2A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Masked autoencoders are scalable vision learners, as the title of MAE \cite{he2022masked}, which suggests that self-supervised learning (SSL) in vision might undertake a similar trajectory as in NLP. Specifically, genera…
Contrastive LearningDenoisingSelf-Supervised LearningLarge Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey
Trajectory prediction serves as a critical functionality in autonomous driving, enabling the anticipation of future motion paths for traffic participants such as vehicles and pedestrians, which is essential for driving s…
Trajectory PredictionAutonomous Driving