Vehicle trajectory prediction on highways using bird eye view representations and deep learning

Bird ’ s - Eye View Steven

Deep Learning of Player Trajectory Representations for Team Activity Analysis

Team sports such as ice hockey and basketball involve complex player interactions. Modeling how players interact with each other presents a great challenge to researchers in the ield of sports analysis. The most common source of data available for this type of analysis is player trajectory tracking data, which encode vital information about themotion, action, and intention of players. At an ind...

Traffic Accident Prediction Using Vehicle Tracking and Trajectory Analysis

Alsau?--lntelligent visual surveillance for road vehicles is a key camponmt for developing autonomous intelligent transportation sys tem. I n this paper, a probabilistic model for prediction of traliic accidents using 3D model based vehicle tracking is proposed. Sample data including motion trajectories are first obtained by 3D model based vehicle tracking. A fuzzy self-organizing neural networ...

Chapter 2 Bird ’ s - Eye View Steven

Creating a Bird-Eye View Map

An omnidirectional camera has properties which are highly beneficial for navigation of a mobile robot. In this thesis this is demonstrated with a new application; a visual map of the environment created from bird-eye view perspective. This visual map can be created on-line, which allows an operator to navigate the robot through an unknown environment based on this visual map.