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 5851–5875 of 6092 papers

TitleStatusHype
Towards Adaptive Meta-Gradient Adversarial Examples for Visual TrackingCode0
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement ModuleCode0
LifelongPR: Lifelong knowledge fusion for point cloud place recognition based on replay and prompt learningCode0
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
Towards Analyzing Semantic Robustness of Deep Neural NetworksCode0
Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-OffCode0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
Evaluation of deep neural networks for traffic sign detection systemsCode0
LiDAR Sensor modeling and Data augmentation with GANs for Autonomous drivingCode0
Towards a performance analysis on pre-trained Visual Question Answering models for autonomous drivingCode0
Towards a Robust Sensor Fusion Step for 3D Object Detection on Corrupted DataCode0
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human ParsingCode0
LiDAR guided Small obstacle SegmentationCode0
A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View DetectionCode0
Understanding Local Robustness of Deep Neural Networks under Natural VariationsCode0
Speeding Up Iterative Closest Point Using Stochastic Gradient DescentCode0
Speeding up Semantic Segmentation for Autonomous DrivingCode0
ALGAMES: A Fast Solver for Constrained Dynamic GamesCode0
A Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular ControlCode0
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
Curriculum Domain Adaptation for Semantic Segmentation of Urban ScenesCode0
Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample SelectionCode0
Towards Better Certified Segmentation via Diffusion ModelsCode0
Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous DrivingCode0
Towards biologically plausible Dreaming and Planning in recurrent spiking networksCode0
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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