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 5751–5775 of 6092 papers

TitleStatusHype
The importance of space and time in neuromorphic cognitive agents—0
SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection—0
Towards Corner Case Detection for Autonomous Driving—0
A Driving Intention Prediction Method Based on Hidden Markov Model for Autonomous Driving—0
An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutionsCode0
PIXOR: Real-time 3D Object Detection from Point CloudsCode1
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection—0
Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model—0
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation—0
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving—0
Semantic Label Reduction Techniques for Autonomous Driving—0
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving—0
Dynamic-Weighted Simplex Strategy for Learning Enabled Cyber Physical SystemsCode0
Real-time 3D Traffic Cone Detection for Autonomous DrivingCode0
Confidence Trigger Detection: Accelerating Real-time Tracking-by-detection Systems—0
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous DrivingCode0
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector—0
Challenges in Designing Datasets and Validation for Autonomous Driving—0
AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms—0
Monocular Outdoor Semantic Mapping with a Multi-task Network—0
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding—0
Exploring applications of deep reinforcement learning for real-world autonomous driving systems—0
On the Utility of Model Learning in HRI—0
Relative Geometry-Aware Siamese Neural Network for 6DOF Camera Relocalization—0
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning—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