# colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers

Repository: https://github.com/colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers
Canonical: https://ross.abutalabs.com/products/awesome-trajectory-motion-prediction-papers
License: MIT
License Family: permissive
Last push: 2026-07-16T17:48:41+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 35, longevity 100
- inputs: {"age_days": 1626, "days_push": 48, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1130, forks 94 (observed 2026-08-28T04:03:42.251581+00:00)

## What it is
A curated awesome-list collecting recent academic papers on trajectory and motion prediction, organized by conference and year, with featured surveys including LLM-based trajectory prediction. It is regularly updated with papers from venues like CVPR, ICCV, ECCV, NeurIPS, and ICLR.

## Use cases
- find recent papers on trajectory prediction
- survey motion prediction research for autonomous driving
- track LLM-based trajectory prediction papers
- find CVPR and NeurIPS papers on pedestrian trajectory forecasting
- prepare a literature review on motion prediction
- discover state-of-the-art trajectory prediction methods by year

## When to choose
- you need a continuously updated index of motion/trajectory prediction research
- you want papers organized by conference and year
- you are researching autonomous driving prediction models or LLM-based approaches

## When to avoid
- you need runnable code or datasets rather than paper links
- you need a tool or library for trajectory prediction itself
- you need deep summaries or analysis of each paper

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: autonomous-vehicles, machine-learning, artificial-intelligence, awesome-lists, tutorials
- platform: cross-platform
- tags: awesome-list, trajectory-prediction, motion-prediction, paper-collection, autonomous-driving, llm, survey, research-papers

## Member repositories
- colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:42.251581+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:38:14.343914+00:00, confidence not recorded.
  - readme: https://github.com/colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers (fetched 2026-08-28T04:03:42.251581+00:00, sha 083de981eb1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.