Estimating Complexity for Perception-based ADAS in Unstructured Road Environments-Reference-Cited by-同舟云学术

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Estimating Complexity for Perception-based ADAS in Unstructured Road Environments

Published:2024-06-02 Issue: Volume:36 Page:305-310
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Taourarti Imane¹,Choudhary Ayesha²,Paswan Vivek Kumar²,Kumar Aditya²,Ramaswamy Arunkumar³,Ibanez-Guzman Javier³,Monsuez Bruno¹,Tapus Adriana¹

Affiliation:

1. Institut Polytechnique de Paris,Autonomous Systems and Robotics Lab/U2IS, Computer Science and System Engineering (U2IS), ENSTA Paris,France

2. Jawaharlal Nehru University,School of Computer and Systems Sciences,New Delhi,India

3. Renault Group,Research Department,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588616.pdf?arnumber=10588616

Reference23 articles.

1. 2020 assisted driving tests

2. Domain-centric ADAS datasets;Diviš

3. A cross‐cultural comparison of road traffic risk perceptions, attitudes towards traffic safety and driver behaviour

4. Autonomous Vehicle-Pedestrian Interaction Across Cultures: Towards Designing Better External Human Machine Interfaces (eHMIs)

5. Modeling and Quantitative Assessment of Environment Complexity for Autonomous Vehicles

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