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

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Showing 5851–5900 of 6092 papers

TitleStatusHype
Intrinsically-Motivated Reinforcement Learning: A Brief Introduction—0
Introduction and Exemplars of Uncertainty Decomposition—0
InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer—0
Inverse reinforcement learning for autonomous navigation via differentiable semantic mapping and planning—0
Invertible Autoencoder for domain adaptation—0
Investigating the Robustness of Artificial Intelligent Algorithms with Mixture Experiments—0
Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions—0
Investigating Vision-Language Model for Point Cloud-based Vehicle Classification—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
Edge Computing for Real-Time Near-Crash Detection for Smart Transportation Applications—0
IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain—0
Is a 3D-Tokenized LLM the Key to Reliable Autonomous Driving?—0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning—0
ISETAuto: Detecting vehicles with depth and radiance information—0
Is it Safe to Drive? An Overview of Factors, Challenges, and Datasets for Driveability Assessment in Autonomous Driving—0
Is Neuron Coverage Needed to Make Person Detection More Robust?—0
Is Your HD Map Constructor Reliable under Sensor Corruptions?—0
Iterative Deep Compression : Compressing Deep Networks for Classification and Semantic Segmentation—0
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions—0
ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving—0
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection—0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration—0
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving—0
JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data—0
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving—0
Joint Beamforming and Interference Cancellation in MmWave Wideband Full-Duplex Systems—0
Joint Communication, Sensing and Localization for Airborne Applications—0
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support—0
Joint haze image synthesis and dehazing with mmd-vae losses—0
Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks—0
JointMotion: Joint Self-Supervision for Joint Motion Prediction—0
Joint object detection and re-identification for 3D obstacle multi-camera systems—0
Joint Prediction for Kinematic Trajectories in Vehicle-Pedestrian-Mixed Scenes—0
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map—0
Joint Self-Supervised Learning for Vision-based Reinforcement Learning—0
Joint SFM and Detection Cues for Monocular 3D Localization in Road Scenes—0
Joint Source-Channel Coding: Fundamentals and Recent Progress in Practical Designs—0
JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction—0
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path—0
Key Ingredients of Self-Driving Cars—0
KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation—0
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling—0
KIT MOMA: A Mobile Machines Dataset—0
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes—0
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey—0
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems—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