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 1676–1700 of 6092 papers

TitleStatusHype
Enhancing End-to-End Autonomous Driving with Latent World ModelCode3
Valeo4Cast: A Modular Approach to End-to-End ForecastingCode0
PRIBOOT: A New Data-Driven Expert for Improved Driving SimulationsCode0
PLT-D3: A High-fidelity Dynamic Driving Simulation Dataset for Stereo Depth and Scene Flow—0
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
Instruct Large Language Models to Drive like HumansCode1
Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?Code0
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection—0
PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving—0
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth EstimationCode5
UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous Driving—0
Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving—0
DualAD: Disentangling the Dynamic and Static World for End-to-End Driving—0
Certified Robustness to Data Poisoning in Gradient-Based TrainingCode0
SlowPerception: Physical-World Latency Attack against Visual Perception in Autonomous Driving—0
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World AttacksCode1
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object MotionCode1
ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving—0
A Superalignment Framework in Autonomous Driving with Large Language Models—0
A Survey of Fragile Model Watermarking—0
CityCraft: A Real Crafter for 3D City Generation—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous DrivingCode4
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
Step Out and Seek Around: On Warm-Start Training with Incremental Data—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