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Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion

Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion

4 April 2025
Zeyang Zheng
Arman Hosseini
Dong Chen
Omid Shoghli
Arsalan Heydarian
ArXiv (abs)PDFHTML

Papers citing "Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion"

10 / 10 papers shown
Title
Bounding Box-based Multi-objective Bayesian Optimization of Risk
  Measures under Input Uncertainty
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
Yu Inatsu
Shion Takeno
Hiroyuki Hanada
Kazuki Iwata
Ichiro Takeuchi
38
4
0
27 Jan 2023
Bayesian Optimization for Distributionally Robust Chance-constrained
  Problem
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
Yu Inatsu
Shion Takeno
Masayuki Karasuyama
Ichiro Takeuchi
54
13
0
31 Jan 2022
Bayesian Optimization for Cascade-type Multi-stage Processes
Bayesian Optimization for Cascade-type Multi-stage Processes
Shunya Kusakawa
Shion Takeno
Yu Inatsu
Kentaro Kutsukake
S. Iwazaki
Takashi Nakano
T. Ujihara
Masayuki Karasuyama
Ichiro Takeuchi
44
19
0
16 Nov 2021
Value-at-Risk Optimization with Gaussian Processes
Value-at-Risk Optimization with Gaussian Processes
Q. Nguyen
Zhongxiang Dai
K. H. Low
Patrick Jaillet
35
32
0
13 May 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty
Mean-Variance Analysis in Bayesian Optimization under Uncertainty
S. Iwazaki
Yu Inatsu
Ichiro Takeuchi
60
34
0
17 Sep 2020
Distributionally Robust Bayesian Optimization
Distributionally Robust Bayesian Optimization
Johannes Kirschner
Ilija Bogunovic
Stefanie Jegelka
Andreas Krause
82
79
0
20 Feb 2020
High-Dimensional Bayesian Optimization via Additive Models with
  Overlapping Groups
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
Paul Rolland
Jonathan Scarlett
Ilija Bogunovic
Volkan Cevher
71
115
0
20 Feb 2018
Truncated Variance Reduction: A Unified Approach to Bayesian
  Optimization and Level-Set Estimation
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic
Jonathan Scarlett
Andreas Krause
Volkan Cevher
84
91
0
24 Oct 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu
P. Frazier
ODLBDL
82
226
0
14 Jun 2016
Predictive Entropy Search for Efficient Global Optimization of Black-box
  Functions
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
José Miguel Hernández-Lobato
Matthew W. Hoffman
Zoubin Ghahramani
107
648
0
10 Jun 2014
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