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Predicting Physical World Destinations for Commands Given to
  Self-Driving Cars

Predicting Physical World Destinations for Commands Given to Self-Driving Cars

10 December 2021
Dusan Grujicic
Thierry Deruyttere
Marie-Francine Moens
Matthew Blaschko
    OOD
ArXivPDFHTML

Papers citing "Predicting Physical World Destinations for Commands Given to Self-Driving Cars"

3 / 3 papers shown
Title
Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D
  Visual Grounding
Talk to Parallel LiDARs: A Human-LiDAR Interaction Method Based on 3D Visual Grounding
Yuhang Liu
Boyi Sun
Guixu Zheng
Yishuo Wang
Jing Wang
Fei-Yue Wang
34
2
0
24 May 2024
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging
  Cross-Modal Attention with Large Language Models
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models
Haicheng Liao
Huanming Shen
Zhenning Li
Chengyue Wang
Guofa Li
Yiming Bie
Chengzhong Xu
34
50
0
06 Dec 2023
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
190
520
0
21 Sep 2016
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