LSS_PipeLine

2017-04-12 23:18:55   0  举报

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LSS_PipeLine是一个用于处理和分析大型数据集的高性能计算平台。它采用了流水线式的处理方式，将整个数据处理过程划分为多个阶段，每个阶段可以并行执行，从而提高了处理速度和效率。LSS_PipeLine支持多种数据格式和算法，包括文本、图像、视频等，可以应用于各种领域，如自然语言处理、计算机视觉、生物信息学等。此外，LSS_PipeLine还提供了丰富的可视化工具，可以帮助用户更好地理解和分析数据。总之，LSS_PipeLine是一个功能强大、易于使用的大数据处理平台，可以帮助用户快速完成复杂的数据分析任务。

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大纲/内容

Block 5: LDW Trigger

Block 7: LC controller

Block 1: Vision Signal processing

Block 2: Driver Monitoring

Block 8: Activation controller

Block 3: ELK Threat assessmentVersion B

Block 4: LSS State Machine

Block 3: ELK Threat assessmentVersion A

Task:- detect if the adjoining lane is occupied with collsion threatinput: - fusion object tracker data- vehicle data- vision lane marker information(in- and output from block 1)output: - if threat on left/right side- TTC of the treat objectSensor setup: front camera + 4SRR (+++)Key word: - generate the lane marker + yaw rate based road model to define the \"adjoining lane\" (+++ without ACC model running)- performance strongly limited when lane marker limited(---)

Block 6: LKA&ELK determiner

Task:- detect if and how much the vehicle need Lane keep assistantinput: - LSS State- driver override info(output from Block 2)- lane information(output from Block 1)- threat info in adjoining lane(output from Block 3)output: - if steering torque intervention need- distance to desired lanekeyword:- determine if the torque intervention can be override based on threat in adjoining lane and override levelPlan A:desired lane = lane marker edgePlan B:desired lane = lane center