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

Showing 10761100 of 6092 papers

TitleStatusHype
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDARCode1
Point Density-Aware Voxels for LiDAR 3D Object DetectionCode1
Fast Road Segmentation via Uncertainty-aware Symmetric NetworkCode1
CROON: Automatic Multi-LiDAR Calibration and Refinement Method in Road SceneCode1
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous DrivingCode1
Pedestrian Stop and Go Forecasting with Hybrid Feature FusionCode1
Optical Flow Based Motion Detection for Autonomous DrivingCode1
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasksCode1
A Unified Query-based Paradigm for Point Cloud UnderstandingCode1
MMFN: Multi-Modal Fusion Net for End-to-End Autonomous DrivingCode1
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous DrivingCode1
TransKD: Transformer Knowledge Distillation for Efficient Semantic SegmentationCode1
LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative PlaneCode1
Can Deep Learning be Applied to Model-Based Multi-Object Tracking?Code1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous DrivingCode1
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksCode1
Memory Replay with Data Compression for Continual LearningCode1
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving ScenariosCode1
3D Object Detection from Images for Autonomous Driving: A SurveyCode1
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera IntrinsicsCode1
Learning Interpretable, High-Performing Policies for Autonomous DrivingCode1
Ad-datasets: a meta-collection of data sets for autonomous drivingCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Few-Shot Backdoor Attacks on Visual Object TrackingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95Unverified
2InterFuserDriving Score76.18Unverified
3TCPDriving Score75.14Unverified
4TF++ WPDriving Score66.32Unverified
5Learning From All Vehicles (LAV)Driving Score61.85Unverified
6TransFuserDriving Score61.18Unverified
7TransFuser (Reproduced)Driving Score55.04Unverified
8TCP (Reproduced)Driving Score47.91Unverified
9Latent TransFuserDriving Score45.2Unverified
10GRIADDriving Score36.79Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17Unverified
2TransFuserRC56.36Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91Unverified
2TransFuserRC78.41Unverified