Sensor and sensor fusion technology in autonomous vehicles: A review
With the significant advancement of sensor and communication technology and the reliable
application of obstacle detection techniques and algorithms, automated driving is becoming …
application of obstacle detection techniques and algorithms, automated driving is becoming …
Delving into the devils of bird's-eye-view perception: A review, evaluation and recipe
Learning powerful representations in bird's-eye-view (BEV) for perception tasks is trending
and drawing extensive attention both from industry and academia. Conventional …
and drawing extensive attention both from industry and academia. Conventional …
Bevfusion: Multi-task multi-sensor fusion with unified bird's-eye view representation
Multi-sensor fusion is essential for an accurate and reliable autonomous driving system.
Recent approaches are based on point-level fusion: augmenting the LiDAR point cloud with …
Recent approaches are based on point-level fusion: augmenting the LiDAR point cloud with …
Bevfusion: A simple and robust lidar-camera fusion framework
Fusing the camera and LiDAR information has become a de-facto standard for 3D object
detection tasks. Current methods rely on point clouds from the LiDAR sensor as queries to …
detection tasks. Current methods rely on point clouds from the LiDAR sensor as queries to …
Bevdet: High-performance multi-camera 3d object detection in bird-eye-view
J Huang, G Huang, Z Zhu, Y Ye, D Du - arxiv preprint arxiv:2112.11790, 2021 - arxiv.org
Autonomous driving perceives its surroundings for decision making, which is one of the most
complex scenarios in visual perception. The success of paradigm innovation in solving the …
complex scenarios in visual perception. The success of paradigm innovation in solving the …
Bevdet4d: Exploit temporal cues in multi-camera 3d object detection
J Huang, G Huang - arxiv preprint arxiv:2203.17054, 2022 - arxiv.org
Single frame data contains finite information which limits the performance of the existing
vision-based multi-camera 3D object detection paradigms. For fundamentally pushing the …
vision-based multi-camera 3D object detection paradigms. For fundamentally pushing the …
Futr3d: A unified sensor fusion framework for 3d detection
Sensor fusion is an essential topic in many perception systems, such as autonomous driving
and robotics. Existing multi-modal 3D detection models usually involve customized designs …
and robotics. Existing multi-modal 3D detection models usually involve customized designs …
Fcos3d: Fully convolutional one-stage monocular 3d object detection
Monocular 3D object detection is an important task for autonomous driving considering its
advantage of low cost. It is much more challenging than conventional 2D cases due to its …
advantage of low cost. It is much more challenging than conventional 2D cases due to its …
Beverse: Unified perception and prediction in birds-eye-view for vision-centric autonomous driving
In this paper, we present BEVerse, a unified framework for 3D perception and prediction
based on multi-camera systems. Unlike existing studies focusing on the improvement of …
based on multi-camera systems. Unlike existing studies focusing on the improvement of …
Vision-centric bev perception: A survey
In recent years, vision-centric Bird's Eye View (BEV) perception has garnered significant
interest from both industry and academia due to its inherent advantages, such as providing …
interest from both industry and academia due to its inherent advantages, such as providing …