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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3151–3175 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
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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