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Efficient object detection and classification on low power embedded systems., , , , , , , , and . ICCE, page 233-234. IEEE, (2017)Multi-sensor fusion for Automated Driving: Selecting model and optimizing on Embedded platform., , , , and . Autonomous Vehicles and Machines, page 1-5. Society for Imaging Science and Technology, (2018)Efficient in-cabin monitoring solution using TI TDA2PxSOCs., , , , , , , , , and 3 other author(s). Autonomous Vehicles and Machines, page 1-5. Society for Imaging Science and Technology, (2022)High Performance Front Camera ADAS Applications on TI's TDA3X Platform., , , , , , , , , and 2 other author(s). HiPC, page 456-463. IEEE Computer Society, (2015)A Diverse Low Cost High Performance Platform for Advanced Driver Assistance System (ADAS) Applications., , , , , , , , , and 5 other author(s). CVPR Workshops, page 819-827. IEEE Computer Society, (2016)Efficient Pre-Processor for CNN., , and . Autonomous Vehicles and Machines, page 50-53. Society for Imaging Science and Technology, (2017)Optimizing convolutional neural network on DSP., , and . ICCE, page 371-372. IEEE, (2016)CNN inference: VLSI architecture for convolution layer for 1.2 TOPS., , , , , and . SoCC, page 158-162. IEEE, (2017)Orchestration of co-operative and adaptive multi-core deep learning engines., , , , , , , and . Autonomous Vehicles and Machines, page 1-5. Society for Imaging Science and Technology, (2023)Optimal CMS System on TDA3 Processor., , , , , , , , , and 4 other author(s). ICCE, page 1-4. IEEE, (2021)