3D object detection for autonomous driving: A comprehensive survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
Robustness-aware 3d object detection in autonomous driving: A review and outlook
In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …
accurately assessing the state of the surrounding environment, thereby enabling informed …
Transfuser: Imitation with transformer-based sensor fusion for autonomous driving
How should we integrate representations from complementary sensors for autonomous
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
driving? Geometry-based fusion has shown promise for perception (eg, object detection …
Densetnt: End-to-end trajectory prediction from dense goal sets
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …
Multi-modal fusion transformer for end-to-end autonomous driving
How should representations from complementary sensors be integrated for autonomous
driving? Geometry-based sensor fusion has shown great promise for perception tasks such …
driving? Geometry-based sensor fusion has shown great promise for perception tasks such …
ST‐SIGMA: Spatio‐temporal semantics and interaction graph aggregation for multi‐agent perception and trajectory forecasting
Scene perception and trajectory forecasting are two fundamental challenges that are crucial
to a safe and reliable autonomous driving (AD) system. However, most proposed methods …
to a safe and reliable autonomous driving (AD) system. However, most proposed methods …
Benchmark for evaluating pedestrian action prediction
I Kotseruba, A Rasouli… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Pedestrian action prediction has been a topic of active research in recent years resulting in
many new algorithmic solutions. However, measuring the overall progress towards solving …
many new algorithmic solutions. However, measuring the overall progress towards solving …
4d-net for learned multi-modal alignment
We present 4D-Net, a 3D object detection approach, which utilizes 3D Point Cloud and RGB
sensing information, both in time. We are able to incorporate the 4D information by …
sensing information, both in time. We are able to incorporate the 4D information by …
Multi-view fusion of sensor data for improved perception and prediction in autonomous driving
We present an end-to-end method for object detection and trajectory prediction utilizing multi-
view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye …
view representations of LiDAR returns. Our method builds on a state-of-the-art Bird's-Eye …
Robust small-scale pedestrian detection with cued recall via memory learning
Although the visual appearances of small-scale objects are not well observed, humans can
recognize them by associating the visual cues of small objects from their memorized …
recognize them by associating the visual cues of small objects from their memorized …