岚图追光—智驾Cornercase数据

通过在智能驾驶车端预置触发器埋点，采集特定场景下如进出隧道、NOA异常退出等车辆数据，包括摄像头、雷达、超声波、行泊车路径规划、智驾功能状态、融合信息以及定位信息等数据内容。客户可以根据需求获取相关数据，进行模型的迭代优化以及功能能故障问题的分析

By deploying pre-installed trigger tracking points on intelligent driving vehicle terminals, this dataset captures vehicle data in specific scenarios including entering and exiting tunnels, abnormal exit of NOA (Navigation on Autopilot), etc. The collected data includes data from cameras, radars, ultrasonic sensors, driving and parking path planning modules, intelligent driving function status, fused information and positioning information. Customers can acquire the relevant data on demand to conduct iterative optimization of models and analysis of functional fault issues.

搜集汇总

背景与挑战

背景概述

岚图追光—智驾Cornercase数据是通过智能驾驶车端预置触发器埋点采集的特定场景下的车辆数据，包括摄像头、雷达、超声波等多种传感器信息。该数据集主要用于智能驾驶模型的迭代优化和功能故障分析，覆盖全国范围，适用于交通运输和工业制造领域。