SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

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Showing 2101–2150 of 6092 papers

TitleStatusHype
HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative—0
Behavior Generation with Latent ActionsCode3
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving—0
World Models for Autonomous Driving: An Initial Survey—0
FastOcc: Accelerating 3D Occupancy Prediction by Fusing the 2D Bird's-Eye View and Perspective View—0
Progressive Smoothing for Motion Planning in Real-Time NMPC—0
Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous DrivingCode1
Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample SelectionCode0
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views—0
PointCore: Efficient Unsupervised Point Cloud Anomaly Detector Using Local-Global FeaturesCode2
A Unified Model Selection Technique for Spectral Clustering Based Motion Segmentation—0
OccFusion: Multi-Sensor Fusion Framework for 3D Semantic Occupancy PredictionCode2
On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous DrivingCode2
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change—0
MS-Net: A Multi-Path Sparse Model for Motion Prediction in Multi-Scenes—0
GoalNet: Goal Areas Oriented Pedestrian Trajectory Prediction—0
RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving—0
T3DNet: Compressing Point Cloud Models for Lightweight 3D Recognition—0
Deep learning for 3D human pose estimation and mesh recovery: A surveyCode2
A Cognitive-Based Trajectory Prediction Approach for Autonomous DrivingCode2
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AICode0
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction—0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
Automatic driving lane change safety prediction model based on LSTM—0
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction—0
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingCode1
EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods—0
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging—0
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labellingCode1
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving ScenesCode0
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems—0
Enhancing Roadway Safety: LiDAR-based Tree Clearance Analysis—0
PiShield: A PyTorch Package for Learning with Requirements—0
ICP-Flow: LiDAR Scene Flow Estimation with ICPCode2
Leveraging Enhanced Queries of Point Sets for Vectorized Map ConstructionCode3
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains—0
QoS prediction in radio vehicular environments via prior user information—0
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data—0
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test—0
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud TrackingCode1
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust—0
Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics—0
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving—0
Detection Is Tracking: Point Cloud Multi-Sweep Deep Learning Models Revisited—0
Construction and application of artificial intelligence crowdsourcing map based on multi-track GPS data—0
Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications—0
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving—0
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
Path Planning based on 2D Object Bounding-box—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified