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 5826–5850 of 6092 papers

TitleStatusHype
Object Detection based on LIDAR Temporal Pulses using Spiking Neural Networks—0
Cross-Modal Distillation for RGB-Depth Person Re-Identification—0
Attended Temperature Scaling: A Practical Approach for Calibrating Deep Neural Networks—0
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving—0
UAVid: A Semantic Segmentation Dataset for UAV ImageryCode0
Action and intention recognition of pedestrians in urban traffic—0
Deep Imitative Models for Flexible Inference, Planning, and ControlCode0
Hierarchical Game-Theoretic Planning for Autonomous Vehicles—0
Optimized Gated Deep Learning Architectures for Sensor Fusion—0
SECOND: Sparsely Embedded Convolutional DetectionCode2
Accelerated Labeling of Discrete Abstractions for Autonomous Driving Subject to LTL Specifications—0
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving—0
Real-time Dynamic Object Detection for Autonomous Driving using Prior 3D-Maps—0
Interest point detectors stability evaluation on ApolloScape dataset—0
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards—0
Vision-based Semantic Mapping and Localization for Autonomous Indoor Parking—0
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic SegmentationCode0
A Survey of Conventional and Artificial Intelligence / Learning based Resource Allocation and Interference Mitigation Schemes in D2D Enabled Networks—0
Automatic Rule Learning for Autonomous Driving Using Semantic Memory—0
Generic Vehicle Tracking Framework Capable of Handling Occlusions Based on Modified Mixture Particle Filter—0
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
Efficient Formal Safety Analysis of Neural NetworksCode0
Generating 3D Adversarial Point CloudsCode0
Autonomous Driving System Design for Formula Student Driverless Racecar—0
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional NetworksCode0
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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