Anil Kumar

- Implementing SAFe agile principles in Automotive Dynamic Environment Perception team - Facilitating SAFe routines like Review, Planning & Retrospective - Communicating with other teams to help manage dependencies, risks & impediments - Support the Product Owner in managing backlog - Help resolve interpersonal conflicts - Creating an atmosphere for self-development in the team

- Implementation of algorithms with IbeoNEXT LiDAR for Dynamic Object Tracking - Development of software in the V-Model - Continuous Integration of the software to keep track of KPIs - Integration & validation in test vehicles - Presentation & Demo to customers and other stakeholders

- IEEE Conference Publication : "Indoor localization of vehicles using Deep Learning" to be published on June 21st, 2016. - Algorithm development in C++ for indoor vehicle detecion and localization with parking lane cameras. - Use of Deep Learning / Machine Learning and Computer Vision techniques for Advanced Driver Assitance and Autonomous Driving applications. - Training and Fine-tuning Deep Convolutional Neural Networks.

- Software development in C for controlling HD Video camera using Raspberry Pi. - Low level C programming with custom hardware boards. - Programming Raspberry Pi to capture and store images from webcam.

- Microcontroller programming in C. - Embedded Software development for communication protocols like GPRS,UART,I2C and ZIGBEE. - Field visits and customer interactions.

Computer Communication Networks, Image Processing, Mobile Sensing, Digital Signal Processing, Adaptive Filters, Wireless Communication.

Computer Communication Networks, Wireless Communication, Embedded Systems, Signals and Systems, Control Systems, Digital Signal Processing, Adaptive Signal Processing