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vasavi-kosaraju02-research
vasavi-kosaraju02-research

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Jan 26

An Anomaly Detection Study on Automotive Sensor Data Time Series for Vehicle Applications.

Anomaly detection involves identifying the differences, deviations, and exceptions from the norm in a dataset. It’s sometimes referred to as outlier detection. Introduction As the transparency of the vehicle is expanding, so does the security risk for the in-vehicle organizations and its parts. Aside from dangers for solace and secrecy…

3 min read

An Anomaly Detection Study on Automotive Sensor Data Time Series for Vehicle Applications.
An Anomaly Detection Study on Automotive Sensor Data Time Series for Vehicle Applications.

3 min read


Jan 26

Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection.

Introduction: With increased technology today’s automotive field is entirely dependent on automation, especially in autonomous driving, this led to improved features which help the user to enable and disable these ADAS features with the user’s intention. The aim is to determine unintentional and intentional deactivation of ADAS features and determine…

5 min read

Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection.
Anomaly Detection for Advanced Driver Assistance Systems Using Online Feature Selection.

5 min read


Jan 26

Voltage IDS Low-Level Communication Characteristics for Automotive Intrusion Detection System.

Introduction: The expansion of mechanized capabilities pointed at upgrading drivers’ well-being and comfort has correspondingly expanded the number of vehicular cyber threats. The basic susceptibility for the cause of these attacks is the fact that control area network protocol, which is significantly used for network communication in vehicles, is lacking…

5 min read

Voltage IDS Low-Level Communication Characteristics for Automotive Intrusion Detection System.
Voltage IDS Low-Level Communication Characteristics for Automotive Intrusion Detection System.

5 min read


Sep 12, 2022

Spark: Basics to Advanced

This blog explains the spark from basic to advanced levels.

Spark

2 min read

Spark: Basics to Advanced
Spark: Basics to Advanced
Spark

2 min read

Spark: Basics to Advanced

This blog explains the spark from basic to advanced levels.

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Sep 12, 2022

Transformers in NLP

This is a blog on transformers in NLP.

Natural Language Process

2 min read

Transformers in NLP
Transformers in NLP
Natural Language Process

2 min read

Transformers in NLP

This is a blog on transformers in NLP.

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Jun 12, 2022

Evaluation Metrics in NLP for the sentence matching

Evaluation Metrics in NLP for the sentence matching Rouge Introduction ROUGE that is an abbreviation of Recall Oriented Understudy for Gisting Evaluation is a set of metrics used for the evaluation of automatic text summarization and machine translations. ROUGE-N It measures the overlap of n-grams between automatically generated summary and reference…

4 min read

4 min read


Mar 28, 2022

Array Interview Qustions in Competitive programming. Hacks and Tricks

This blog explains the hacks and logics related to the Arrays in the interviews.

1 min read

1 min read

Array Interview Qustions in Competitive programming. Hacks and Tricks

This blog explains the hacks and logics related to the Arrays in the interviews.

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Mar 28, 2022

Bit Manipulation in Interviews

This blog explains the hacks and logics related to the bit manipulation in the interviews. Count the set bits in integer.

1 min read

1 min read

Bit Manipulation in Interviews

This blog explains the hacks and logics related to the bit manipulation in the interviews.

  1. Count the set bits in integer.

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Jun 5, 2021

DLC Conversion to Deploy DeepLearning Models in Qualcomm Hardware.

SNPE: SnapDragon Nueral Processing Engine. SNPE converts the DL framework specific model formats (*.protobuf, *.pb, *.onnx, etc) to a SNPE specific proprietary format called DLC (Deep Learning Container). The layers that are supported by SNPE are https://developer.qualcomm.com/docs/snpe/network_layers.html Limitations of SNPE : https://developer.qualcomm.com/docs/snpe/limitations.html Snapdragon Neural Processing Engine SDK: Tools This chapter describes the various SDK tools and features. snpe-net-run loads a DLC file, loads the data for the input…developer.qualcomm.com

2 min read

DLC Conversion to Deploy DeepLearning Models in Qualcomm Hardware.
DLC Conversion to Deploy DeepLearning Models in Qualcomm Hardware.

2 min read


May 22, 2021

Aggregated View Object Detection (AVOD) for Sensor Fusion of Lidar and Camera in Autonomous Driving.

Avod proposes nueral network architecture that uses LIDAR point clouds and RGB images. This network is similar to the Faster-RCNN object detection network. It consists of 2 sub networks: Region proposal network Second stage detector network. Why do we use the region proposals ? These region proposals are used to predict the Extents, Orientation , Classification of objects…

6 min read

Aggregated View Object Detection (AVOD) for Sensor Fusion of Lidar and Camera in Autonomous Driving.
Aggregated View Object Detection (AVOD) for Sensor Fusion of Lidar and Camera in Autonomous Driving.

6 min read

vasavi-kosaraju02-research

vasavi-kosaraju02-research

12 Followers
Following
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