Maneuver-based Trajectory Prediction for Self-driving Cars Using
Spatio-temporal Convolutional Networks

Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks

15 September 2021

Benedikt Mersch

Papers citing "Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks"

7 / 7 papers shown

Title
MonoPIC -- A Monocular Low-Latency Pedestrian Intention Classification Framework for IoT Edges Using ID3 Modelled Decision Trees S. Radhakrishna A. Balasubramanyam 6 0 0 01 Apr 2023
Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning Jianwu Fang C. Zhu Pu Zhang Hongkai Yu Jianru Xue 30 16 0 02 Nov 2022
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? Aravinda Ramakrishnan Srinivasan Yi-Shin Lin Morris Antonello Anthony Knittel Mohamed Hasan ... S. Ramamoorthy Matteo Leonetti J. Billington R. Romano Gustav Markkula 14 15 0 22 Jun 2022
MEAT: Maneuver Extraction from Agent Trajectories Julian Schmidt Julian Jordan D. Raba Tobias Welz Klaus C. J. Dietmayer 13 3 0 10 Jun 2022
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning Jayabrata Chowdhury Suresh Sundaram Nishanth Rao N. Sundararajan 6 2 0 20 May 2022
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 152 362 0 20 Jan 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 184 217 0 16 Mar 2020