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 901925 of 6092 papers

TitleStatusHype
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object DetectionCode1
On the Adversarial Robustness of Camera-based 3D Object DetectionCode1
Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous VehiclesCode1
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous DrivingCode1
Using a Waffle Iron for Automotive Point Cloud Semantic SegmentationCode1
SensorX2car: Sensors-to-car calibration for autonomous driving in road scenariosCode1
Collaborative Perception in Autonomous Driving: Methods, Datasets and ChallengesCode1
Street-View Image Generation from a Bird's-Eye View LayoutCode1
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution AttentionCode1
Policy Pre-training for Autonomous Driving via Self-supervised Geometric ModelingCode1
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial ExamplesCode1
TIPI: Test Time Adaptation With Transformation InvarianceCode1
Benchmarking Robustness of 3D Object Detection to Common CorruptionsCode1
Azimuth Super-Resolution for FMCW Radar in Autonomous DrivingCode1
Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance FieldsCode1
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous DrivingCode1
INT2: Interactive Trajectory Prediction at IntersectionsCode1
Single Domain Generalization for LiDAR Semantic SegmentationCode1
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye ViewCode1
PanDepth: Joint Panoptic Segmentation and Depth CompletionCode1
Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controllerCode1
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP BenchmarkCode1
Efficient Visual Computing with Camera RAW SnapshotsCode1
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving ScenariosCode1
ALSO: Automotive Lidar Self-supervision by Occupancy estimationCode1
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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