TY - INPR A1 - Pederiva, Marcelo Eduardo A1 - De Martino, José Mario A1 - Zimmer, Alessandro T1 - MonoNext: A 3D Monocular Object Detection with ConvNext N2 - Autonomous driving perception tasks rely heavily on cameras as the primary sensor for Object Detection, Semantic Segmentation, Instance Segmentation, and Object Tracking. However, RGB images captured by cameras lack depth information, which poses a significant challenge in 3D detection tasks. To supplement this missing data, mapping sensors such as LIDAR and RADAR are used for accurate 3D Object Detection. Despite their significant accuracy, the multi-sensor models are expensive and require a high computational demand. In contrast, Monocular 3D Object Detection models are becoming increasingly popular, offering a faster, cheaper, and easier-to-implement solution for 3D detections. This paper introduces a different Multi-Tasking Learning approach called MonoNext that utilizes a spatial grid to map objects in the scene. MonoNext employs a straightforward approach based on the ConvNext network and requires only 3D bounding box annotated data. In our experiments with the KITTI dataset, MonoNext achieved high precision and competitive performance comparable with state-of-the-art approaches. Furthermore, by adding more training data, MonoNext surpassed itself and achieved higher accuracies. UR - https://doi.org/10.48550/arXiv.2308.00596 Y1 - 2023 UR - https://doi.org/10.48550/arXiv.2308.00596 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-38846 PB - arXiv CY - Ithaca ER - TY - CHAP A1 - Vriesman, Daniel A1 - Junior, Alceu Britto A1 - Zimmer, Alessandro A1 - Brandmeier, Thomas T1 - Multimodal Early Fusion of Automotive Sensors based on Autoencoder Network: An anchor-free approach for Vehicle 3D Detection T2 - 2023 26th International Conference on Information Fusion (FUSION) UR - https://doi.org/10.23919/FUSION52260.2023.10224140 KW - early fusion KW - lidar KW - camera KW - radar KW - vehicle detection Y1 - 2023 UR - https://doi.org/10.23919/FUSION52260.2023.10224140 SN - 979-8-89034-485-4 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Tabata, Alan Naoto A1 - Zimmer, Alessandro A1 - Coelho, Leandro Dos Santos A1 - Mariani, Viviana Cocco T1 - Analyzing CARLA ’s performance for 2D object detection and monocular depth estimation based on deep learning approaches JF - Expert Systems with Applications UR - https://doi.org/10.1016/j.eswa.2023.120200 Y1 - 2023 UR - https://doi.org/10.1016/j.eswa.2023.120200 SN - 0957-4174 VL - 2023 IS - 227 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Palandurkar, Tanaya Viraj A1 - Chan, Lap Yan A1 - Silva, Joed Lopes Da A1 - Zimmer, Alessandro A1 - Schwarz, Ulrich T1 - Driver’s Chest Position Detection using FMCW Radar Data Collected in a Vehicle Mock-up and CNN T2 - 2023 24th International Radar Symposium (IRS) UR - https://doi.org/10.23919/IRS57608.2023.10172421 KW - Training KW - Three-dimensional displays KW - Biological system modeling KW - Radar detection KW - Radar KW - Predictive models KW - Data models Y1 - 2023 UR - https://doi.org/10.23919/IRS57608.2023.10172421 SN - 978-3-944976-34-1 PB - IEEE CY - Piscataway ER -