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 961–970 of 2605 papers

TitleStatusHype
ChipNet: Real-Time LiDAR Processing for Drivable Region Segmentation on an FPGA—0
Real-Time Segmentation Networks should be Latency Aware—0
Decomposition and Quantification of SOTIF Requirements for Perception Systems of Autonomous Vehicles—0
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors—0
Falsification-Based Robust Adversarial Reinforcement Learning—0
Far3Det: Towards Far-Field 3D Detection—0
Decoding CNN based Object Classifier Using Visualization—0
Automated Detecting and Placing Road Objects from Street-level Images—0
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities—0
Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions using Reinforcement Learning—0
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Benchmark Results

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