Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1811.11277
Cited By
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving
27 November 2018
Junyao Guo
Unmesh Kurup
Mohak Shah
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving"
12 / 12 papers shown
Title
My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data
Hauke Sandhaus
Angel Hsing-Chi Hwang
Wendy Ju
Qian Yang
24
1
0
10 Apr 2025
Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images
Zhongyi Shui
Ruizhe Guo
Honglin Li
Yuxuan Sun
Yunlong Zhang
Chenglu Zhu
Jiatong Cai
Pingyi Chen
Yanzhou Su
Lin Yang
48
0
0
04 Mar 2025
Safety of autonomous vehicles: A survey on Model-based vs. AI-based approaches
Dimia Iberraken
Lounis Adouane
19
1
0
29 May 2023
Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey
Yuxiao Zhang
Alexander Carballo
Hanting Yang
K. Takeda
32
273
0
16 Dec 2021
A Cluster-Based Weighted Feature Similarity Moving Target Tracking Algorithm for Automotive FMCW Radar
Rongqian Chen
Yingquan Zou
Anyong Gao
Leshi Chen
13
1
0
13 Dec 2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
Galadrielle Humblot-Renaux
Letizia Marchegiani
T. Moeslund
Rikke Gade
SSeg
EgoV
34
14
0
15 Sep 2021
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
Lianzhen Wei
Zirui Li
Jian-wei Gong
Cheng Gong
Jiachen Li
25
52
0
24 Jun 2021
Probabilistic Rainfall Estimation from Automotive Lidar
Robin Karlsson
D. Wong
Kazunari Kawabata
S. Thompson
N. Sakai
16
12
0
23 Apr 2021
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place Recognition
Marvin Chancán
Michael Milford
ViT
18
17
0
17 Nov 2020
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
Yaodong Cui
Ren‐Hao Chen
Wenbo Chu
Long Chen
Daxin Tian
Ying Li
Dongpu Cao
3DPC
32
385
0
10 Apr 2020
CityLearn: Diverse Real-World Environments for Sample-Efficient Navigation Policy Learning
Marvin Chancán
Michael Milford
SSL
22
5
0
10 Oct 2019
Autonomous Vehicles that Interact with Pedestrians: A Survey of Theory and Practice
Amir Rasouli
John K. Tsotsos
57
607
0
30 May 2018
1