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 4426–4450 of 6092 papers

TitleStatusHype
Exploring Simple 3D Multi-Object Tracking for Autonomous DrivingCode1
DenseTNT: End-to-end Trajectory Prediction from Dense Goal SetsCode1
Embodied AI-Driven Operation of Smart Cities: A Concise Review—0
A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic SegmentationCode1
L3C-Stereo: Lossless Compression for Stereo Images—0
An Independent Study of Reinforcement Learning and Autonomous Driving—0
Geo-Context Aware Study of Vision-Based Autonomous Driving Models and Spatial Video Data—0
AutoLay: Benchmarking amodal layout estimation for autonomous driving—0
Continual Learning for Image-Based Camera LocalizationCode1
Retrieval and Localization with Observation Constraints—0
VIL-100: A New Dataset and A Baseline Model for Video Instance Lane DetectionCode1
Calibration Method of the Monocular Omnidirectional Stereo Camera—0
End-to-End Urban Driving by Imitating a Reinforcement Learning CoachCode1
LOKI: Long Term and Key Intentions for Trajectory Prediction—0
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation—0
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation—0
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous DrivingCode1
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation—0
Robustness testing of AI systems: A case study for traffic sign recognition—0
Detecting OODs as datapoints with High Uncertainty—0
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch AttacksCode1
Reimagining an autonomous vehicle—0
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction—0
Memory-based Semantic Segmentation for Off-road Unstructured Natural EnvironmentsCode1
6G Internet of Things: A Comprehensive Survey—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