Bharadwaj et al., 2023
| Publication | Publication Date | Title |
|---|---|---|
| Nidamanuri et al. | A progressive review: Emerging technologies for ADAS driven solutions | |
| Chi et al. | Deep steering: Learning end-to-end driving model from spatial and temporal visual cues | |
| Niranjan et al. | Deep learning based object detection model for autonomous driving research using carla simulator | |
| JP2021528798A (en) | Parametric top view representation of the scene | |
| US20210149408A1 (en) | Generating Depth From Camera Images and Known Depth Data Using Neural Networks | |
| Liu et al. | Vehicle detection and ranging using two different focal length cameras | |
| Pravallika et al. | Deep learning frontiers in 3D object detection: a comprehensive review for autonomous driving | |
| Darapaneni et al. | Autonomous car driving using deep learning | |
| Sapkal et al. | Lane detection techniques for self-driving vehicle: comprehensive review | |
| Hu et al. | An image-based crash risk prediction model using visual attention mapping and a deep convolutional neural network | |
| Maddiralla et al. | Effective lane detection on complex roads with convolutional attention mechanism in autonomous vehicles | |
| Kang et al. | ETLi: Efficiently annotated traffic LiDAR dataset using incremental and suggestive annotation | |
| US20240005794A1 (en) | Adaptive perception affected by V2X signal | |
| Bharadwaj et al. | Lane, car, traffic sign and collision detection in simulated environment using GTA-V | |
| Wang et al. | ATG-PVD: ticketing parking violations on a drone | |
| Akib et al. | Integrated Traffic Violations Detection System for the Highways of Bangladesh | |
| Abdi et al. | Driver information system: A combination of augmented reality and deep learning | |
| Gomez-Huelamo et al. | 360∘ real-time and power-efficient 3D DAMOT for autonomous driving applications | |
| Gorodnichev et al. | Development of software module for recognizing traffic flows through deep learning | |
| Dai | Semantic Detection of Vehicle Violation Video Based on Computer 3D Vision | |
| Yu et al. | Scene-Graph Embedding for Robust Autonomous Vehicle Perception | |
| Ahadi | A Computer Vision Approach for Object Detection and Lane Segmentation in Autonomous Vehicles | |
| Pagale et al. | A review for autonomous vehicles technologies | |
| Juanola | M. Speed Traffic Sign Detection on the CARLA Simulator Using YOLO | |
| Joshi et al. | A Novel Framework for Autonomous Driving |