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 3151–3200 of 6092 papers

TitleStatusHype
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction—0
OpenInst: A Simple Query-Based Method for Open-World Instance Segmentation—0
Architecturing Binarized Neural Networks for Traffic Sign RecognitionCode0
Unsupervised Adaptation from Repeated Traversals for Autonomous DrivingCode0
Model-Based Reinforcement Learning with Isolated ImaginationsCode1
NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear InterpolationCode1
GP-PCS: One-shot Feature-Preserving Point Cloud Simplification with Gaussian Processes on Riemannian ManifoldsCode0
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye ViewCode1
Robust Test-Time Adaptation in Dynamic ScenariosCode1
LINe: Out-of-Distribution Detection by Leveraging Important NeuronsCode1
PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic ViewCode1
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation—0
WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal—0
CCL: Continual Contrastive Learning for LiDAR Place RecognitionCode1
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning—0
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial NetworksCode1
An Effective Motion-Centric Paradigm for 3D Single Object Tracking in Point CloudsCode2
ADCNet: Learning from Raw Radar Data via Distillation—0
Vehicle Sequencing at Signal-Free Intersections: Analytical Performance Guarantees Based on PDMP Formulation—0
ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals—0
Deep Q-Network Based Decision Making for Autonomous Driving—0
Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving—0
VAD: Vectorized Scene Representation for Efficient Autonomous DrivingCode3
DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR OcclusionCode0
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic SegmentationCode1
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object DetectionCode1
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies—0
Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow PredictionCode1
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation—0
Blind Multimodal Quality Assessment of Low-light Images—0
3D Data Augmentation for Driving Scenes on Camera—0
Social Occlusion Inference with Vectorized Representation for Autonomous Driving—0
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates—0
TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving—0
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation—0
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives—0
Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning—0
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous DrivingCode3
Symbolic Perception Risk in Autonomous Driving—0
Learning with Noisy Labels through Learnable Weighting and Centroid SimilarityCode0
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
Fast and Accurate Object Detection on Asymmetrical Receptive Field—0
MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud SequencesCode1
Stochastic Segmentation with Conditional Categorical Diffusion ModelsCode1
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object DetectionCode2
Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphs—0
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous DrivingCode1
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
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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