Alpamayo 1 Latency Analysis and Optimization via Trajectory Generation
arXiv:2605.08975v1 presents a study on latency analysis and optimization of Alpamayo 1, a reasoning-based end-to-end autonomous driving system. The system generates multiple trajectories with corresponding reasoning sequences (multi-reasoning) to improve interpretability and diversity. However, this approach incurs redundant computation. The paper investigates the efficiency of Alpamayo 1's design and proposes optimization via efficient trajectory generation. The work is motivated by the unexplored efficiency of the multi-reasoning approach in autonomous driving.
Key facts
- arXiv:2605.08975v1 is a new paper on Alpamayo 1.
- Alpamayo 1 uses a multi-reasoning approach for trajectory prediction.
- Multi-reasoning generates one reasoning sequence per trajectory.
- Single-reasoning shares a single reasoning across all trajectories.
- Multi-reasoning offers richer diversity but at higher computational cost.
- The paper focuses on latency analysis and optimization.
- Optimization is achieved via efficient trajectory generation.
- The study is motivated by the unexplored efficiency of Alpamayo 1.
Entities
Institutions
- arXiv