MIMP: Modular and Interpretable Motion Planning Framework for Safe Autonomous Driving in Complex Real-world Scenarios-Reference-Cited by-同舟云学术

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MIMP: Modular and Interpretable Motion Planning Framework for Safe Autonomous Driving in Complex Real-world Scenarios

Published:2024-06-02 Issue: Volume:164 Page:1492-1498
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Valadares Carlos Fernando Coelho¹,Macaluso Piero¹,Bartyzel Grzegorz¹,Dziubinski Maciej¹,Koeppen Christopher¹,Kopte Gabriel Anunciação¹,Twardak Janusz¹,Vincelli Francesco¹,Poerio Nicola¹

Affiliation:

1. Stellantis

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588803.pdf?arnumber=10588803

Reference25 articles.

1. nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles;Caesar,2021

2. End-To-End Interpretable Neural Motion Planner

3. DSDNet: Deep Structured Self-driving Network

4. Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

5. MP3: A Unified Model to Map, Perceive, Predict and Plan

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