LatenAux: Toward latency-aware trajectory prediction for autonomous driving via consolidated auxiliary learning

Accurate trajectory forecasting is essential for enabling autonomous vehicles to navigate safely in complex traffic environments. Current models typically assume that predictions are latency-free, an idealistic simplification that fails in real-world settings, where processing, computation, and tran...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Zhengxing Lan, Lingshan Liu, Haiyang Yu, Yilong Ren
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Tsinghua University Press 2026-03-01
Edice:	Communications in Transportation Research
Témata:	multimodal trajectory prediction latency auxiliary learning autonomous vehicles (avs)
On-line přístup:	https://www.sciopen.com/article/10.26599/COMMTR.2026.9640010
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!