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MATS: An Interpretable Trajectory Forecasting Representation for
  Planning and Control

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control

16 September 2020
Boris Ivanovic
Amine Elhafsi
Guy Rosman
Adrien Gaidon
Marco Pavone
ArXivPDFHTML

Papers citing "MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control"

17 / 17 papers shown
Title
SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions
SICNav-Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions
Sepehr Samavi
Anthony Lem
Fumiaki Sato
Sirui Chen
Qiao Gu
Keijiro Yano
Angela P. Schoellig
Florian Shkurti
64
0
0
11 Mar 2025
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
Lianhao Yin
Yutong Ban
J. Eckhoff
O. Meireles
Daniela Rus
Guy Rosman
41
1
0
03 Feb 2024
Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions
Scalable Multi-modal Model Predictive Control via Duality-based Interaction Predictions
Hansung Kim
Siddharth H. Nair
Francesco Borrelli
41
1
0
02 Feb 2024
CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D
CLiNet: Joint Detection of Road Network Centerlines in 2D and 3D
David Paz
S. Srinivas
Yuan Yao
Henrik I. Christensen
26
0
0
04 Feb 2023
Interaction and Decision Making-aware Motion Planning using Branch Model
  Predictive Control
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control
Rui Oliveira
Siddharth H. Nair
B. Wahlberg
18
9
0
31 Jan 2023
DiffStack: A Differentiable and Modular Control Stack for Autonomous
  Vehicles
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles
Peter Karkus
Boris Ivanovic
Shie Mannor
Marco Pavone
36
45
0
13 Dec 2022
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
Q. Sun
Xin Huang
B. Williams
Hang Zhao
37
3
0
03 Nov 2022
RAP: Risk-Aware Prediction for Robust Planning
RAP: Risk-Aware Prediction for Robust Planning
Haruki Nishimura
Jean-Pierre Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
46
17
0
04 Oct 2022
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous
  Vehicles
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles
Alec Farid
Sushant Veer
Boris Ivanovic
Karen Leung
Marco Pavone
35
24
0
25 Jul 2022
Differentiable Integrated Motion Prediction and Planning with Learnable
  Cost Function for Autonomous Driving
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Chen Lv
37
92
0
21 Jul 2022
ScePT: Scene-consistent, Policy-based Trajectory Predictions for
  Planning
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning
Yuxiao Chen
Boris Ivanovic
Marco Pavone
43
77
0
18 Jun 2022
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
25
129
0
13 Oct 2021
Injecting Planning-Awareness into Prediction and Detection Evaluation
Injecting Planning-Awareness into Prediction and Detection Evaluation
Boris Ivanovic
Marco Pavone
74
31
0
07 Oct 2021
Safe Motion Planning against Multimodal Distributions based on a
  Scenario Approach
Safe Motion Planning against Multimodal Distributions based on a Scenario Approach
Heejin Ahn
Colin Chen
Ian M. Mitchell
Maryam Kamgarpour
11
12
0
05 Aug 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
Boris Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
22
35
0
26 Apr 2021
Leveraging Neural Network Gradients within Trajectory Optimization for
  Proactive Human-Robot Interactions
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions
Simon Schaefer
Karen Leung
Boris Ivanovic
Marco Pavone
22
25
0
02 Dec 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
174
211
0
18 Oct 2019
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