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. 1909.04942
  4. Cited By
Multi-Sensor 3D Object Box Refinement for Autonomous Driving

Multi-Sensor 3D Object Box Refinement for Autonomous Driving

11 September 2019
Peiliang Li
Siqi Liu
Shaojie Shen
    3DPC
ArXivPDFHTML

Papers citing "Multi-Sensor 3D Object Box Refinement for Autonomous Driving"

5 / 5 papers shown
Title
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D
  Object Detection
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection
Qing Lian
Peiliang Li
Xiaozhi Chen
MDE
15
50
0
16 Mar 2022
On the Role of Sensor Fusion for Object Detection in Future Vehicular
  Networks
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks
Valentina Rossi
Paolo Testolina
M. Giordani
M. Zorzi
26
8
0
23 Apr 2021
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
185
840
0
20 Dec 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
36
82
0
10 Jun 2020
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
521
0
21 Sep 2016
1