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 4301–4325 of 6092 papers

TitleStatusHype
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling—0
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation—0
2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track—0
Robustness via Uncertainty-aware Cycle ConsistencyCode1
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections—0
Joint Beamforming and Interference Cancellation in MmWave Wideband Full-Duplex Systems—0
A Versatile and Efficient Reinforcement Learning Framework for Autonomous DrivingCode1
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic SegmentationCode1
Learning 3D Semantic Segmentation with only 2D Image Supervision—0
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and HighwaysCode1
Generalized Out-of-Distribution Detection: A SurveyCode1
Semantic Segmentation for Urban-Scene ImagesCode0
Event Guided Depth Sensing—0
Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation—0
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems—0
Detecting Backdoor Attacks Against Point Cloud Classifiers—0
Minimal Multi-Layer Modifications of Deep Neural Networks—0
NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences—0
Accurate and Robust Object-oriented SLAM with 3D Quadric Landmark Construction in Outdoor Environment—0
FAST3D: Flow-Aware Self-Training for 3D Object Detectors—0
AUTO-DISCERN: Autonomous Driving Using Common Sense Reasoning—0
eVTOL Communications and Networking in UAM: Requirements, Key Enablers, and Challenges—0
TIP: Task-Informed Motion Prediction for Intelligent Vehicles—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