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In the video, you will see two visualisations by the P7i. The top visualisation (from the central display) is based on HD Maps, while the bottom one (from the drivers dash) is without HD Maps. It is generated by XNet, a neural-network based perception architecture self-developed by XPeng, with human-like decision-making capabilities. 01:59 - When a bike passes close to the car, the XNet visualisation changes to a bird's eye view 02:40 - The road ahead is under construction. The top visualisation shows the outdated map, whereas the bottom visualisation is able to recognise and adapt to the road diversion. 04:12 - Unprotected left turn. Note that there are no clear markings on the road, it has to slow down for the bike cutting into its path, avoid a wave of vehicles turning into its lane from the opposite direction. It's also able to detect the red road divider early. 06:40 - The driver intentionally turned the car towards the safety cones to see how it handles the situation. 07:07 - The road is wide without lane markings. The car was able to infer a reasonable path. 08:55 - Traffic light detection. Stopping and moving off by itself. 09:47 - Tight U-turn and lane changing with another car coming from the side and unpredictable bike ahead of it.