Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?
Summary
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? is a scholarly article[1].
Key Facts
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?'s instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-motion-forecasting-with-real-world-perception-inputs-are-end-to-end-approaches-competitive
MLA“Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-motion-forecasting-with-real-world-perception-inputs-are-end-to-end-approaches-competitive.
BibTeX@misc{4ortxyz_towards-motion-forecasting-with-real-world-perception-inputs-are-end-to-end-approaches-competitive_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?}}, year = {2026}, url = {https://4ort.xyz/entity/towards-motion-forecasting-with-real-world-perception-inputs-are-end-to-end-approaches-competitive}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive? — https://4ort.xyz/entity/towards-motion-forecasting-with-real-world-perception-inputs-are-end-to-end-approaches-competitive (retrieved 2026-05-24)
