SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1060 of 2605 papers

TitleStatusHype
Verifying Safety of Neural Networks from Topological PerspectivesCode0
SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving—0
Cooperative Decision-Making in Shared Spaces: Making Urban Traffic Safer through Human-Machine Cooperation—0
Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing—0
Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving ScenesCode0
Spiking Two-Stream Methods with Unsupervised STDP-based Learning for Action Recognition—0
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future Directions—0
Anticipatory Thinking Challenges in Open Worlds: Risk Management—0
Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation—0
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye ViewCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified