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cs.RO2025
End2Race: Efficient End-to-End Imitation Learning for Real-Time F1Tenth Racing
Zhijie Qiao, Haowei Li, Zhong Cao +1
F1Tenth is a widely adopted reduced-scale platform for developing and testing autonomous racing algorithms, hosting annual competitions worldwide. With high operating speeds, dynam…
cs.RO2025
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
Zhijie Qiao, Haowei Li, Zhong Cao +1
Vision-Language Models (VLMs) have demonstrated significant potential for end-to-end autonomous driving. However, the field still lacks a practical platform that enables dynamic mo…