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End-to-End Interactive Prediction and Planning with Optical Flow
  Distillation for Autonomous Driving

End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving

18 April 2021
Hengli Wang
Peide Cai
Rui Fan
Yuxiang Sun
Ming-Yu Liu
ArXivPDFHTML

Papers citing "End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving"

18 / 18 papers shown
Title
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Benchmarking the Robustness of Optical Flow Estimation to Corruptions
Zhonghua Yi
Hao-miao Shi
Qi Jiang
Yao Gao
Ze Wang
Y. Zhang
Kailun Yang
Kaiwei Wang
AAML
70
1
0
22 Nov 2024
Self-Assessed Generation: Trustworthy Label Generation for Optical Flow
  and Stereo Matching in Real-world
Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world
Han Ling
Yinghui Sun
Quansen Sun
Ivor Tsang
Yuhui Zheng
26
1
0
14 Oct 2024
Noise-Free Explanation for Driving Action Prediction
Noise-Free Explanation for Driving Action Prediction
Hongbo Zhu
Theodor Wulff
R. S. Maharjan
Jinpei Han
Angelo Cangelosi
AAML
FAtt
17
0
0
08 Jul 2024
Autonomous Driving with Spiking Neural Networks
Autonomous Driving with Spiking Neural Networks
Rui-Jie Zhu
Ziqing Wang
Leilani H. Gilpin
Jason Eshraghian
29
6
0
30 May 2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented
  In-Context Learning in Multi-Modal Large Language Model
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model
Jianhao Yuan
Shuyang Sun
Daniel Omeiza
Bo-Lu Zhao
Paul Newman
Lars Kunze
Matthew Gadd
LRM
16
47
0
16 Feb 2024
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular
  Road-Scene Depth Estimation
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation
Genki Kinoshita
Ko Nishino
MDE
18
1
0
07 Dec 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Hongyang Li
3DV
34
261
0
29 Jun 2023
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for
  BEV 3D Object Detection
BEV-LGKD: A Unified LiDAR-Guided Knowledge Distillation Framework for BEV 3D Object Detection
Jianing Li
Ming Lu
Jiaming Liu
Yandong Guo
Li Du
Shanghang Zhang
24
6
0
01 Dec 2022
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map
  Generation
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
Hao Dong
Xianjing Zhang
Jintao Xu
Rui Ai
Weihao Gu
Huimin Lu
Juho Kannala
Xieyuanli Chen
16
31
0
28 Nov 2022
JPerceiver: Joint Perception Network for Depth, Pose and Layout
  Estimation in Driving Scenes
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes
Haimei Zhao
Jing Zhang
Sen Zhang
Dacheng Tao
19
15
0
16 Jul 2022
VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and
  Pooled Vehicle Information
VTrackIt: A Synthetic Self-Driving Dataset with Infrastructure and Pooled Vehicle Information
Mayuresh Savargaonkar
Abdallah A. Chehade
15
1
0
15 Jul 2022
A Perturbation-Constrained Adversarial Attack for Evaluating the
  Robustness of Optical Flow
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow
Jenny Schmalfuss
Philipp Scholze
Andrés Bruhn
AAML
14
19
0
24 Mar 2022
Computer-Aided Road Inspection: Systems and Algorithms
Computer-Aided Road Inspection: Systems and Algorithms
Rui Fan
Sicen Guo
Li Wang
M. J. Bocus
21
6
0
04 Mar 2022
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision
  for Freespace Detection
SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection
Hengli Wang
Rui Fan
Peide Cai
Ming-Yu Liu
22
49
0
30 Jul 2021
Deep Structured Reactive Planning
Deep Structured Reactive Planning
Jerry Liu
Wenyuan Zeng
R. Urtasun
Ersin Yumer
64
30
0
18 Jan 2021
Applying Surface Normal Information in Drivable Area and Road Anomaly
  Detection for Ground Mobile Robots
Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots
H. Wang
Rui Fan
Yuxiang Sun
Ming-Yu Liu
42
51
0
26 Aug 2020
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic
  Segmentation for Accurate Freespace Detection
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection
Rui Fan
H. Wang
Peide Cai
Ming-Yu Liu
47
147
0
26 Aug 2020
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic
  Environments with Multimodal Sensor Fusion
Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
Peide Cai
Sukai Wang
Yuxiang Sun
Ming-Yu Liu
36
70
0
05 May 2020
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