K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation | ScienceToStartup | ScienceToStartup

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References (26)

[1]

Qwen3-VL Technical Report

2025Shuai Bai, Yuxuan Cai et al.

[2]

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

2025Zewei Zhou, Tianhui Cai et al.

[3]

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Founder's Pitch

"K-Gen enables more realistic and interpretable trajectory generation in autonomous driving simulations using multimodal language-conditioned keypoints."

Autonomous Driving•Score: 5•View PDF ↗

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K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

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References (26)

Founder's Pitch

"K-Gen enables more realistic and interpretable trajectory generation in autonomous driving simulations using multimodal language-conditioned keypoints."

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K-Gen: A Multimodal Language-Conditioned Approach for Interpretable Keypoint-Guided Trajectory Generation

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References (26)

Founder's Pitch

"K-Gen enables more realistic and interpretable trajectory generation in autonomous driving simulations using multimodal language-conditioned keypoints."

Commercial Viability Breakdown

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