Towards Safety-Aware Pedestrian Detection in Autonomous Systems

Author:

Lyssenko Maria1,Gladisch Christoph1,Heinzemann Christian1,Woehrle Matthias1,Triebel Rudolph2

Affiliation:

1. Corporate Research,Robert Bosch GmbH,Renningen,Germany

2. Technical University of Munich,Germany

Publisher

IEEE

Reference27 articles.

1. Are all objects equal? Deep spatio-temporal importance prediction in driving videos

2. Yolov3: An incremental improvement;redmon;ArXiv,2018

3. On a for-mal model of safe and scalable self-driving cars;shalev-shwartz;ArXiv Preprint,2017

4. Purss: Towards perceptual uncertainty aware responsibility sensitive safety with ml;salay;AAAI SafeAI,2020

5. Safety-Aware Metric for People Detection

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Safety-Adapted Loss for Pedestrian Detection in Autonomous Driving;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. A Flow-Based Credibility Metric for Safety-Critical Pedestrian Detection;Lecture Notes in Computer Science;2024

3. Multi-Spectral Pedestrian Detection Guided by Feature Consistency;2023 China Automation Congress (CAC);2023-11-17

4. What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

5. SHARD: Safety and Human Performance Analysis for Requirements in Detection;IEEE Transactions on Intelligent Vehicles;2023

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