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

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Showing 2541–2550 of 2605 papers

TitleStatusHype
Autonomous Vehicle Fleet Coordination With Deep Reinforcement Learning—0
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes—0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections—0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
Non-line-of-sight Imaging with Partial Occluders and Surface Normals—0
Predicting Scene Parsing and Motion Dynamics in the Future—0
Combining LiDAR Space Clustering and Convolutional Neural Networks for Pedestrian Detection—0
Robust Fusion of LiDAR and Wide-Angle Camera Data for Autonomous Mobile Robots—0
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications—0
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Benchmark Results

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