SAM-LLM uses a fine-tuned Llama-2 to emit four physical parameters for lane changes, reporting 98.73% intention accuracy but with a flawed trajectory equation.
Intention-aware long horizon trajectory prediction of surrounding vehi- cles using dual lstm networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AI 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
sam-llm: interpretable lane change trajectoryprediction via parametric finetuning
SAM-LLM uses a fine-tuned Llama-2 to emit four physical parameters for lane changes, reporting 98.73% intention accuracy but with a flawed trajectory equation.