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 54265450 of 6092 papers

TitleStatusHype
Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review0
Metamorphic Testing for Object Detection Systems0
UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes0
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks0
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path0
Hierarchical Deep Stereo Matching on High-resolution ImagesCode0
The Garden of Forking Paths: Towards Multi-Future Trajectory PredictionCode1
A Dynamic Motion Planning Framework for Autonomous Driving in Urban Environments0
Scalability in Perception for Autonomous Driving: Waymo Open DatasetCode2
Learning a Layout Transfer Network for Context Aware Object Detection0
Detection of False Positive and False Negative Samples in Semantic SegmentationCode0
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving0
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction0
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?0
Learning Super-resolved Depth from Active Gated Imaging0
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving0
Deep Model Compression Via Two-Stage Deep Reinforcement Learning0
FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped ActivationCode0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving0
Just Go with the Flow: Self-Supervised Scene Flow EstimationCode0
Urban Driving with Conditional Imitation Learning0
Learning a Decision Module by Imitating Driver's Control Behaviors0
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles0
Simulation-based reinforcement learning for real-world autonomous drivingCode0
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling0
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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