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 2801–2825 of 6092 papers

TitleStatusHype
Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models—0
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation—0
Sensitivity-Informed Augmentation for Robust Segmentation—0
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning—0
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions—0
Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers—0
REvolve: Reward Evolution with Large Language Models using Human Feedback—0
Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsCode0
A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving—0
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—0
Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technology—0
Data Quality in Edge Machine Learning: A State-of-the-Art Survey—0
Uncertainty Quantification for Bird's Eye View Semantic Segmentation: Methods and Benchmarks—0
Hard Cases Detection in Motion Prediction by Vision-Language Foundation ModelsCode0
Robust Stable Spiking Neural NetworksCode0
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation—0
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making ApplicationsCode0
Reasoning3D -- Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models—0
Optimizing Vehicular Networks with Variational Quantum Circuits-based Reinforcement Learning—0
Information Entropy Guided Height-aware Histogram for Quantization-friendly Pillar Feature Encoder—0
SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving—0
LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping—0
Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?—0
3D StreetUnveiler with Semantic-Aware 2DGS—0
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration—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