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 4776–4800 of 6092 papers

TitleStatusHype
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving—0
Attention-based Adversarial Appearance Learning of Augmented Pedestrians—0
4C: A Computation, Communication, and Control Co-Design Framework for CAVs—0
Deep auxiliary learning for visual localization using colorization task—0
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint—0
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach—0
Model-Centric Volumetric Point Cloud Attributes—0
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps—0
Poisoning the Search Space in Neural Architecture Search—0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
OffRoadTranSeg: Semi-Supervised Segmentation using Transformers on OffRoad environments—0
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection—0
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey—0
Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks—0
Arbitrary Angle of Arrival in Radar Target Simulation—0
Imitation Learning: Progress, Taxonomies and Challenges—0
Lossless Point Cloud Attribute Compression with Normal-based Intra Prediction—0
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving—0
MEAL: Manifold Embedding-based Active Learning—0
Spatio-Temporal Multi-Task Learning Transformer for Joint Moving Object Detection and Segmentation—0
MODETR: Moving Object Detection with Transformers—0
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving—0
RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union—0
Learning Progressive Point Embeddings for 3D Point Cloud Generation—0
Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera—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