Enhancing Autonomous Vehicle Trustworthiness through Explainable AI and User-Friendly Interfaces
Incorporating explainable AI and user-friendly interfaces is crucial for building trust and situation awareness in autonomous vehicles, as it enables end-users to understand the reasoning behind the vehicle's decisions and actions.
Leveraging SLAM Technology for Accurate Environment Perception and Automated Lane Change in Autonomous Vehicles
SLAM (Simultaneous Localization and Mapping) technology plays a crucial role in enabling accurate environment perception, vehicle positioning, and intelligent decision-making for automated lane change functionality in autonomous driving systems.
CurbNet: Advanced Curb Detection Framework Based on LiDAR Point Cloud Segmentation
CurbNet introduces a novel framework for curb detection using point cloud segmentation, achieving exceptional results and setting new benchmarks in autonomous driving technology.
Radar-camera Fusion in Bird’s Eye View for 3D Object Detection
Efficient radar-camera fusion for accurate 3D object detection.
LiDAR Scene Flow Estimation with ICP: Learning-Free Model Outperforms Baselines
ICP-Flow, a learning-free flow estimator using the Iterative Closest Point (ICP) algorithm, outperforms state-of-the-art baselines in scene flow estimation for autonomous driving.
3D Semantic Segmentation-Driven Representations for 3D Object Detection: Enhancing Autonomous Driving Systems with Semantic Features
LiDAR-based 3D object detection benefits from semantic features obtained through 3D semantic segmentation, improving performance for cars.
Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
Lightning NeRF introduces an efficient hybrid scene representation for autonomous driving, significantly improving novel view synthesis performance and reducing computational overheads.
CalibFormer: Transformer-based LiDAR-Camera Calibration Network
CalibFormer proposes an end-to-end network for automatic LiDAR-camera calibration, achieving high accuracy and robustness.
Adaptive Communications in Collaborative Perception for Autonomous Driving Framework
Proposing ACC-DA for collaborative perception in autonomous driving to minimize transmission delay, enhance data reconstruction, and align data distribution.
OccFusion: A Multi-Sensor Fusion Framework for 3D Occupancy Prediction
OccFusion integrates cameras, lidar, and radar to enhance 3D occupancy prediction accuracy and robustness.
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