A Novel Approach to Lane-Line and Object Detection in Advanced Driver Assistance Systems

This high-tech DAS recognizes objects and lane lines using OpenCV, PyTorch, and PyCUDA. Image processing helps the lane-line detecting system track accurately. The object detection module uses a refined deep-learning model to identify objects. New drivers are safer and more successful when these pieces work together to study the vehicle's surroundings in real time. Extensive testing shows the paper's efficacy and potential to revolutionize intelligent driving assistance.

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/cisct62494.2024.11134218
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Approach to Lane-Line and Object Detection in Advanced Driver Assistance Systems

Hanumat Sastry G, Polumuri Spandana Valli, Shobha Aswal, Bharathi Paleti et al.
Autonomous Vehicle Technology and Safety
article

A Novel Approach to Lane-Line and Object Detection in Advanced Driver Assistance Systems

Hanumat Sastry G, Polumuri Spandana Valli, Shobha Aswal, Bharathi Paleti, K.Rachita Sony
article en

Abstract

This high-tech DAS recognizes objects and lane lines using OpenCV, PyTorch, and PyCUDA. Image processing helps the lane-line detecting system track accurately. The object detection module uses a refined deep-learning model to identify objects. New drivers are safer and more successful when these pieces work together to study the vehicle's surroundings in real time. Extensive testing shows the paper's efficacy and potential to revolutionize intelligent driving assistance.

Naval Science & Technological Laboratory (IN), University of Petroleum and Energy Studies (IN), Dehradun Institute of Technology University (IN)
Openalex Percentile: Top 67%
Autonomous Vehicle Technology and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Novel Approach to Lane-Line and Object Detection in Advanced Driver Assistance Systems — Hanumat Sastry G, Polumuri Spandana Valli, et al. · (2024) | TGRS Research Map | TGRS