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 5926–5950 of 6092 papers

TitleStatusHype
Laneformer: Object-aware Row-Column Transformers for Lane Detection—0
Lane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
Lane Segmentation Refinement with Diffusion Models—0
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor—0
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions—0
LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering—0
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving—0
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving—0
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Large Language Models for Education: A Survey—0
Large Language Models for Human-like Autonomous Driving: A Survey—0
Large receptive field strategy and important feature extraction strategy in 3D object detection—0
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving—0
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction—0
Large-Scale Bandwidth and Power Optimization for Multi-Modal Edge Intelligence Autonomous Driving—0
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset—0
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset—0
Large-scale, real-time visual-inertial localization revisited—0
Large-Scale Video Analytics through Object-Level Consolidation—0
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting—0
LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving—0
Show:102550
← PrevPage 238 of 244Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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