ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.08294
  4. Cited By
TNT: Target-driveN Trajectory Prediction

TNT: Target-driveN Trajectory Prediction

19 August 2020
Hang Zhao
Jiyang Gao
Tian-Shing Lan
Chen Sun
Benjamin Sapp
Balakrishnan Varadarajan
Yue Shen
Yi Shen
Yuning Chai
Cordelia Schmid
Congcong Li
Dragomir Anguelov
ArXivPDFHTML

Papers citing "TNT: Target-driveN Trajectory Prediction"

17 / 67 papers shown
Title
Multi-modal Motion Prediction with Transformer-based Neural Network for
  Autonomous Driving
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
Zhiyu Huang
Xiaoyu Mo
Chen Lv
16
112
0
14 Sep 2021
TrAISformer -- A Transformer Network with Sparse Augmented Data
  Representation and Cross Entropy Loss for AIS-based Vessel Trajectory
  Prediction
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction
Duong Nguyen
Ronan Fablet
19
24
0
08 Sep 2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
Thomas Gilles
S. Sabatini
D. Tsishkou
B. Stanciulescu
Fabien Moutarde
3DH
27
228
0
04 Sep 2021
LOKI: Long Term and Key Intentions for Trajectory Prediction
LOKI: Long Term and Key Intentions for Trajectory Prediction
Harshayu Girase
Haiming Gang
Srikanth Malla
Jiachen Li
Akira Kanehara
K. Mangalam
Chiho Choi
23
79
0
18 Aug 2021
Reimagining an autonomous vehicle
Reimagining an autonomous vehicle
Jeffrey Hawke
E. Haibo
Vijay Badrinarayanan
Alex Kendall
16
11
0
12 Aug 2021
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Nachiket Deo
Eric M. Wolff
Oscar Beijbom
13
162
0
28 Jun 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class
  Uncertainty
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty
B. Ivanovic
Kuan-Hui Lee
P. Tokmakov
Blake Wulfe
R. McAllister
Adrien Gaidon
Marco Pavone
22
35
0
26 Apr 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via
  Differentiable Simulation
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior
Vasileios Lioutas
Daniele Reda
Peyman Bateni
Frank D. Wood
VGen
40
47
0
22 Apr 2021
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting
  through Multi-View Fusion of LiDAR Data
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data
A. Laddha
Shivam Gautam
Stefan Palombo
Shreyash Pandey
Carlos Vallespi-Gonzalez
3DPC
81
29
0
21 Apr 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
129
528
0
20 Apr 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
32
55
0
16 Apr 2021
On complementing end-to-end human behavior predictors with planning
On complementing end-to-end human behavior predictors with planning
Liting Sun
Xiaogang Jia
Anca Dragan
19
17
0
09 Mar 2021
TPCN: Temporal Point Cloud Networks for Motion Forecasting
TPCN: Temporal Point Cloud Networks for Motion Forecasting
Maosheng Ye
Tongyi Cao
Qifeng Chen
3DPC
10
145
0
04 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
152
362
0
20 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
20
176
0
17 Jan 2021
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for
  Pedestrian Action Prediction
Graph-SIM: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction
Tiffany Yau
Saber Malekmohammadi
Amir Rasouli
P. Lakner
Mohsen Rohani
Jun-Jie Luo
14
21
0
03 Dec 2020
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based
  Plans
Trajectory Forecasts in Unknown Environments Conditioned on Grid-Based Plans
Nachiket Deo
Mohan M. Trivedi
13
148
0
03 Jan 2020
Previous
12