Multi-Agents Trajectory Prediction for Autonomous Vehicles with Multi-Modal Predictions.

Almusawi, HusamAlghazawi, Mohammad2025-09-042025-09-042024https://hdl.handle.net/2437/3973211. A comprehensive model to predict the motion of multi-agents on the road. 2. The model is designed to capture social interactions between agents, without relying on the map information. 3. Each actor is encoded by a Temporal Convolutional Network (TCN) to capture temporal interactions. 4. Applies a graph convolution method and combines it with multi-head self-attention. 5. Apply multi-modal predictions to determine the probability of each individual mode.76enAutonomous Driving, Motion Prediction, Temporal Convolutional Network (TCN), Multi-Agents, Multi-Modal.Multi-Agents Trajectory Prediction for Autonomous Vehicles with Multi-Modal Predictions.Engineering SciencesHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.