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The Importance of Prior Knowledge in Precise Multimodal Prediction

The Importance of Prior Knowledge in Precise Multimodal Prediction

4 June 2020
Sergio Casas
Cole Gulino
Simon Suo
R. Urtasun
ArXiv (abs)PDFHTML

Papers citing "The Importance of Prior Knowledge in Precise Multimodal Prediction"

27 / 27 papers shown
Title
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
Albert Zhao
Stefano Soatto
DiffM
138
0
0
18 May 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
Kumar Manas
Christian Schlauch
Adrian Paschke
Christian Wirth
Nadja Klein
96
1
0
17 Apr 2025
Diverse Controllable Diffusion Policy with Signal Temporal Logic
Yue Meng
Chuchu fan
170
2
0
04 Mar 2025
Joint Perception and Prediction for Autonomous Driving: A Survey
Joint Perception and Prediction for Autonomous Driving: A Survey
Lucas DalĆol
Miguel Oliveira
Vítor M. F. Santos
160
2
0
18 Dec 2024
GAD-Generative Learning for HD Map-Free Autonomous Driving
GAD-Generative Learning for HD Map-Free Autonomous Driving
Weijian Sun
Yanbo Jia
Qi Zeng
Zihao Liu
Jiang Liao
Yue Li
Xianfeng Li
100
0
0
01 May 2024
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction
Pei Xu
J. Hayet
Ioannis Karamouzas
82
17
0
21 Feb 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
79
50
0
13 Dec 2022
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
Alexander Cui
Sergio Casas
K. Wong
Simon Suo
R. Urtasun
106
68
0
04 Nov 2022
ProspectNet: Weighted Conditional Attention for Future Interaction
  Modeling in Behavior Prediction
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction
Yutian Pang
Zehua Guo
Binnan Zhuang
53
4
0
29 Aug 2022
Learning an Interpretable Model for Driver Behavior Prediction with
  Inductive Biases
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases
Salar Arbabi
D. Tavernini
Saber Fallah
Richard Bowden
68
6
0
31 Jul 2022
Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory
  Forecasting
Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting
Dooseop Choi
Kyoung‐Wook Min
94
20
0
11 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
102
80
0
18 Jun 2022
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction
  Network Trained with Lane Loss
Diverse Multiple Trajectory Prediction Using a Two-stage Prediction Network Trained with Lane Loss
Sanmin Kim
Hyeongseok Jeon
Junwon Choi
Dongsuk Kum
130
21
0
17 Jun 2022
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Zhangjie Cao
Erdem Biyik
Guy Rosman
Dorsa Sadigh
89
11
0
08 Mar 2022
Vehicle trajectory prediction works, but not everywhere
Vehicle trajectory prediction works, but not everywhere
Mohammadhossein Bahari
Saeed Saadatnejad
Ahmad Rahimi
Mohammad Shaverdikondori
M. Shahidzadeh
Seyed-Mohsen Moosavi-Dezfooli
Alexandre Alahi
OffRL
77
53
0
07 Dec 2021
Propagating State Uncertainty Through Trajectory Forecasting
Propagating State Uncertainty Through Trajectory Forecasting
Boris Ivanovic
Yifeng Lin
Shubham Shrivastava
Punarjay Chakravarty
Marco Pavone
149
19
0
07 Oct 2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Sriram Narayanan
Ramin Moslemi
Francesco Pittaluga
Buyu Liu
Manmohan Chandraker
101
58
0
16 Apr 2021
MP3: A Unified Model to Map, Perceive, Predict and Plan
MP3: A Unified Model to Map, Perceive, Predict and Plan
Sergio Casas
Abbas Sadat
R. Urtasun
3DV
116
238
0
18 Jan 2021
Deep Multi-Task Learning for Joint Localization, Perception, and
  Prediction
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips
Julieta Martinez
Ioan Andrei Bârsan
Sergio Casas
Abbas Sadat
R. Urtasun
105
38
0
17 Jan 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
204
233
0
17 Jan 2021
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
Katie Z Luo
Sergio Casas
Renjie Liao
Xinchen Yan
Yuwen Xiong
Wenyuan Zeng
R. Urtasun
90
6
0
07 Jan 2021
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for
  Autonomous Driving
Trajformer: Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving
Manoj Bhat
Jonathan M Francis
Jean Oh
71
22
0
30 Nov 2020
Trajectory Prediction in Autonomous Driving with a Lane Heading
  Auxiliary Loss
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss
Ross Greer
Nachiket Deo
Mohan M. Trivedi
113
47
0
12 Nov 2020
DSDNet: Deep Structured self-Driving Network
DSDNet: Deep Structured self-Driving Network
Wenyuan Zeng
Shenlong Wang
Renjie Liao
Yun Chen
Binh Yang
R. Urtasun
82
97
0
13 Aug 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable
  Semantic Representations
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations
Abbas Sadat
Sergio Casas
Mengye Ren
Xinyu Wu
Pranaab Dhawan
R. Urtasun
3DV
130
198
0
13 Aug 2020
Learning Lane Graph Representations for Motion Forecasting
Learning Lane Graph Representations for Motion Forecasting
Ming Liang
Binh Yang
Rui Hu
Yun Chen
Renjie Liao
Song Feng
R. Urtasun
110
575
0
27 Jul 2020
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised
  Models
Vehicle Trajectory Prediction by Transfer Learning of Semi-Supervised Models
Nick Lamm
Shashank Jaiprakash
Malavika Srikanth
Iddo Drori
115
6
0
14 Jul 2020
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