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An efficient Deep Spatio-Temporal Context Aware decision Network
  (DST-CAN) for Predictive Manoeuvre Planning
v1v2 (latest)

An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning

20 May 2022
Jayabrata Chowdhury
Suresh Sundaram
Nishanth Rao
N. Sundararajan
ArXiv (abs)PDFHTML

Papers citing "An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning"

16 / 16 papers shown
Title
Trajectory-guided Control Prediction for End-to-end Autonomous Driving:
  A Simple yet Strong Baseline
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Peng Wu
Xiaosong Jia
Li Chen
Junchi Yan
Hongyang Li
Yu Qiao
81
201
0
16 Jun 2022
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
Chenxu Luo
Xiaodong Yang
Alan Yuille
VOT3DPC
74
89
0
23 Aug 2021
Multiple Futures Prediction
Multiple Futures Prediction
Yichuan Tang
Ruslan Salakhutdinov
89
353
0
04 Nov 2019
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Jean Pierre Mercat
Thomas Gilles
N. Zoghby
G. Sandou
D. Beauvois
Guillermo Pita Gil
60
173
0
08 Oct 2019
Robust Multi-Modality Multi-Object Tracking
Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang
Hui Zhou
Shuyang Sun
Zhe Wang
Jianping Shi
Chen Change Loy
VOT
59
194
0
09 Sep 2019
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for
  Autonomous Driving
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
Xin Li
Xiaowen Ying
Mooi Choo Choo Chuah
63
238
0
17 Jul 2019
FANTrack: 3D Multi-Object Tracking with Feature Association Network
FANTrack: 3D Multi-Object Tracking with Feature Association Network
Erkan Baser
Venkat Balasubramanian
Prarthana Bhattacharyya
Krzysztof Czarnecki
VOT
36
104
0
07 May 2019
Integrating kinematics and environment context into deep inverse
  reinforcement learning for predicting off-road vehicle trajectories
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Yanfu Zhang
Wenshan Wang
Rogerio Bonatti
Daniel Maturana
Sebastian Scherer
50
42
0
16 Oct 2018
Naturalistic Driver Intention and Path Prediction using Recurrent Neural
  Networks
Naturalistic Driver Intention and Path Prediction using Recurrent Neural Networks
Alex Zyner
Stewart Worrall
E. Nebot
54
182
0
26 Jul 2018
Baidu Apollo EM Motion Planner
Baidu Apollo EM Motion Planner
Haoyang Fan
Fan Zhu
Changchun Liu
Liangliang Zhang
Li Zhuang
Dong Li
Weicheng Zhu
Jiangtao Hu
Hongye Li
Qi Kong
61
305
0
20 Jul 2018
Convolutional Social Pooling for Vehicle Trajectory Prediction
Convolutional Social Pooling for Vehicle Trajectory Prediction
Nachiket Deo
Mohan M. Trivedi
67
788
0
15 May 2018
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver
  based LSTMs
Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs
Nachiket Deo
Mohan M. Trivedi
84
418
0
15 May 2018
A Reinforcement Learning Based Approach for Automated Lane Change
  Maneuvers
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers
Pin Wang
Ching-yao Chan
A. de La Fortelle
64
252
0
21 Apr 2018
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM
  Encoder-Decoder Architecture
Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture
Seonghyeon Park
Byeongdo Kim
C. Kang
C. Chung
J. Choi
56
410
0
18 Feb 2018
An LSTM Network for Highway Trajectory Prediction
An LSTM Network for Highway Trajectory Prediction
Florent Altché
A. de La Fortelle
HAI
54
520
0
24 Jan 2018
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,175
0
25 Apr 2016
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