Deep Learning based Brake Light Detection for Two Wheelers
- Resource Type
- Conference
- Authors
- Kumar, Gobind; Rampavan, Medipelly; Paul Ijjina, Earnest
- Source
- 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) Computing Communication and Networking Technologies (ICCCNT), 2021 12th International Conference on. :1-4 Jul, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Fields, Waves and Electromagnetics
Robotics and Control Systems
Signal Processing and Analysis
Location awareness
Deep learning
Visualization
Computational modeling
Object detection
Brakes
Autonomous vehicles
vehicle brake light detection
two-wheeler detection
collision avoidance
- Language
_ The detection of brake light plays an important role in applications such as autonomous driving, to avoid rear-end collision. In this work, we propose a frame work to identify the location of two-wheelers and their brake lights in traffic visual data using a deep learning-based approach. The system uses the Yolo object detection model for multi-class detection and localization. The experimental study was conducted on a new dataset of two-wheeler vehicles in traffic.