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cs.RO2024
Dual-AEB: Synergizing Rule-Based and Multimodal Large Language Models for Effective Emergency Braking
Wei Zhang, Pengfei Li, Junli Wang +8
Automatic Emergency Braking (AEB) systems are a crucial component in ensuring the safety of passengers in autonomous vehicles. Conventional AEB systems primarily rely on closed-set…
cs.LG2024★ 1 cited
Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU
Zhenyu Ning, Jieru Zhao, Qihao Jin +2
Multimodal Large Language Models (MLLMs) are distinguished by their multimodal comprehensive ability and widely used in many real-world applications including GPT-4o, autonomous dr…