Trajectory-Prediction with Vision: A Survey

• URL: http://arxiv.org/abs/2303.13354v1
• Date: Wed, 15 Mar 2023 01:06:54 GMT
• Title: Trajectory-Prediction with Vision: A Survey
• Authors: Apoorv Singh
• Abstract summary: Trajectory prediction is an extremely challenging task which recently gained a lot of attention in the autonomous vehicle research community. A good prediction model can prevent collisions on the road, and hence the ultimate goal for autonomous vehicles: Collision rate: collisions per Million miles. We categorize the relevant algorithms into different classes so that researchers can follow through the trends in the trajectory-prediction research field.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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