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 42514275 of 6092 papers

TitleStatusHype
QML for Argoverse 2 Motion Forecasting Challenge0
Robust and accurate depth estimation by fusing LiDAR and Stereo0
A Near Sensor Edge Computing System for Point Cloud Semantic Segmentation0
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds0
Real-Time And Robust 3D Object Detection with Roadside LiDARs0
Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation0
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections0
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future0
SphereVLAD++: Attention-based and Signal-enhanced Viewpoint Invariant Descriptor0
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning0
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games0
BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly DetectionCode0
GP22: A Car Styling Dataset for Automotive Designers0
Object-Level Targeted Selection via Deep Template Matching0
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks0
Long-Tail Prediction Uncertainty Aware Trajectory Planning for Self-driving Vehicles0
Safe Decision-making for Lane-change of Autonomous Vehicles via Human Demonstration-aided Reinforcement Learning0
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction0
Cross-domain Federated Object Detection0
LiDAR-as-Camera for End-to-End Driving0
Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles0
Verifiable Goal Recognition for Autonomous Driving with OcclusionsCode0
Learning mixture of domain-specific experts via disentangled factors for autonomous drivingCode0
Woodscape Fisheye Object Detection for Autonomous Driving -- CVPR 2022 OmniCV Workshop Challenge0
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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