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1. Autonomous driving systems require minimizing end-to-end latencies for safety and performance.
2. The paper proposes a novel schedule synthesis to reduce probabilistic end-to-end latencies of task sequences in autonomous driving software stacks.
3. The proposed synthesis consists of two stages: baseline schedule generation and task phases optimization, which significantly improve graph schedulability and reduce end-to-end tail latencies.
对于上述文章,由于只提供了标题和摘要,并没有提供具体的内容,因此无法进行详细的批判性分析。需要更多的信息和数据来评估文章中是否存在潜在偏见、片面报道、无根据的主张、缺失的考虑点等问题。